Category robots

In 2016, the European Union co-funded 17 new robotics projects from the Horizon 2020 Framework Programme for research and innovation. 16 of these resulted from the robotics work programme, and 1 project resulted from the Societal Challenges part of Horizon 2020. The robotics work programme implements the robotics strategy developed by SPARC, the Public-Private Partnership for Robotics in Europe (see the Strategic Research Agenda). 

EuRobotics regularly publishes video interviews with projects, so that you can find out more about their activities. You can also see many of these projects at the upcoming European Robotics Forum (ERF) in Tampere Finland March 13-15.

This week features RobMoSys : Composable Models and Software for Robotic Systems.

Objectives

RobMoSys will coordinate the whole community’s best and consorted efforts to realize a step-change towards an industry-grade software development ecosystem.
RobMoSys envisions a model-driven integration approach built around the current code-centric robotic platforms.
RobMoSys intends to establish software quality enabling model and software composability and improved tool support.
RobMoSys will elaborate a common open methodology for software development based on broad involvement of the robotic and software community via Open Calls.

 

Expected Impact

The major expected impacts of the project are:

• the professionalization of software development in robotics, which in turn will improve product and service quality at reduced development costs;
• the further commoditization of the basic robotics software technologies, which in turn will help to grow the potential market of new-generation robotics systems.

Impacts are expected in both the global software and system modelling tool market and in robotic related market domains.

Partners

COMMISSARIAT A L’ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES
FACHHOCHSCHULE ULM
KATHOLIEKE UNIVERSITEIT LEUVEN
TECHNISCHE UNIVERSITAET MUENCHEN
SIEMENS AKTIENGESELLSCHAFT
PAL ROBOTICS SL
COMAU SPA
ECLIPSE FOUNDATION EUROPE GMBH
EUNITED AISBL

Coordinator:

Coordinator: Sara Tucci
sara.tucci@cea.fr

Project website: robmosys.eu

Watch all EU-projects videos

If you enjoyed reading this article, you may also want to read:

• New Horizon 2020 robotics projects, 2016: REELER
• New Horizon 2020 robotics projects, 2016: HEPHAESTUS
• New Horizon 2020 robotics projects, 2016: Co4Robots
• New Horizon 2020 robotics projects, 2016: An.Dy
• New Horizon 2020 robotics projects, 2016: BADGER
• Two Horizon 2020 projects researching EU Digital Industrial Platform for Robotics
• EU’s Horizon 2020 has funded $179 million in robotics PPPs

See all the latest robotics news on Robohub, or sign up for our weekly newsletter.

In this episode of Robots in Depth, Per Sjöborg speaks with Daniel Pizzata about how his passion for modular robotics led him to start Modbot, a company building robotics platforms. The goal of Modbot is to bring robots out of the research labs and make them accessible to everyone.

Daniel started out in the defence sector in Australia using robotics to measure radio transmissions. He worked on many different projects, but felt that he wanted to work with technology that was more widely applicable in society.

Daniel also talks about how he met his co-founder Adam Ellison and how they had the idea of a platform and a community that could widen the range of people that are able to develop robotics and automation solutions. This turned out to be a life-changing journey with many intense moments and amazing experiences.

Daniel then shares how living on floor 7½ in the mezzanine corridor was one of the interesting aspects of moving to San Fransisco to pursue his dream of starting Modbot.

I have created a gallery in Google Photos with some of the more interesting items I saw at CES, with the bulk of them being related to robocars, robotic delivery and transportation.

Click on the CES 2018 Gallery to view it. Make sure to see the captions, which will either appear at the bottom of the screen, or if you clicke the “Info” button (“i” in circle) it will open up a side panel with the caption, and then you can go through the images with arrow keys or the arrow buttons.

In the gallery you will see commentary on 3 different flying car offerings, many LIDARs, 6 delivery robots and the silliest product of CES 2018.

In other news

It’s been reported that Pony.ai got a $112M series A which shows the valuation frenzy is continuing. Pony.ai was founded by veterans of Baido (and Google Chauffeur), but what is more surprising is that their plan is not very ambitious, at least for now — cars for restricted environments such as campuses and small towns. They will go after the Chinese market first.

The U.S. Dept. of Transport will make a 3rd round of robocar regulations this summer. The first round was much too detailed, the 2nd round fixed that but said almost nothing. The 3rd round will probably be a bit closer to the middle, and will also deal with trucks, which were left out of earlier rules.

Bill Ibelle for News@NorthEastern: While drones and driverless cars dominate the headlines, another breakthrough—robot dexterity—is likely to have an even greater impact in both business and everyday life

Chris Martin for Bloomberg Business Week: Even before Trump’s tariffs, the U.S. panel maker underpriced Chinese rivals with a spray-on, energy-absorbing metal and largely automated factories.

A bot herder, is an individual who controls and maintains a botnet by installing malicious software in many computers, placing these devices under his/her control. These "herds" of bot machines, also called zombies, can then be used to attack or infect other computers.

There has been a lot of investment by retailers in recent years to achieve a true omni-channel fulfillment strategy. Robots are enabling companies to improve the fulfillment process both in the warehouse and will soon be doing so in the retail store.

Last week's sea rescue of Australian swimmers by an Unmanned Aerial Vehicle (UAV) is just the start of a robotics revolution.

John Revill, Oliver Hirt for Reuters: “The last couple of years ABB was in the repair shop and now we are coming out. With political stability and digitalisation we have positive conditions and a better platform to participate in the upturn,”

The Financial Times reported earlier this year that one of the largest clothing manufacturers, Hong Kong-based Crystal Group, proclaimed robotics could not compete with the cost and quality of manual labor. Crystal’s Chief Executive, Andrew Lo, emphatically declared, “The handling of soft materials is really hard for robots.” Lo did leave the door open for future consideration by acknowledging such budding technologies as “interesting.”

One company mentioned by Lo was Georgia Tech spinout, Softwear Automation. Softwear made news last summer by announcing its contract with an Arkansas apparel factory to update 21 production lines with its Sewbot automated sewing machines. The factory is owned by Chinese manufacturer Tianyuan Garments, which produces over 20 million T-shirts a year for Adidas. The Chairman of Tianyuan, Tang Xinhong, boasted about his new investment, saying “Around the world, even the cheapest labor market can’t compete with us,” when Sewbot brings down the costs to $0.33 a shirt.

The challenge for automating cut & sew operations to date has been the handling of textiles which come in a seemingly infinite number of varieties that stretch, skew, flop and move with great fluidity. To solve this problem, Softwear uses computer vision to track each individual thread. According to its issued patents, Softwear developed a specialized camera which captures  threads at 1,000 frames per second and tracks their movements using proprietary algorithms. Softwear embedded this camera around robot end effectors that manipulate the fabrics similar to human fingers. According to a description on IEEE Spectrum these “micromanipulators, powered by precise linear actuators, can guide a piece of cloth through a sewing machine with submillimeter precision, correcting for distortions of the material.” To further ensure the highest level of quality, Sewbot uses a four-axis robotic arm with a vacuum gripper that picks and places the textiles on a sewing table with a 360-degree conveyor system and spherical rollers to quickly move the fabric panels around.

Softwear’s CEO, Palaniswamy “Raj” Rajan, explained, “Our vision is that we should be able to manufacture clothing anywhere in the world and not rely on cheap labor and outsourcing.” Rajan appears to be working hard towards that goal, professing that his robots are already capable of reproducing more than 2 million products sold at Target and Walmart. According to IEEE Spectrum, Rajan further asserted in a press release that at the end of 2017, Sewbot will be on track to produce “30 million pieces a year.” It is unclear if that objective was ever met. Softwear did announce the closing of its $7.5 million financing round by CTW Venture Partners, a firm of which Rajan is also the managing partner.

Softwear Automation is not the only company focused on automating the trillion-dollar apparel industry. Sewbo has been turning heads with its innovative approach to fabric manipulation. Unlike Softwear, which is taking the more arduous route of revolutionizing machines, Sewbo turns textiles into hardened substances that are easy for off-the-shelf robots and existing sewing appliances to handle. Sewbo’s secret sauce, literally, is a water-soluble thermal plastic or stiffening solution that turns cloth into a cardboard-like material. Blown away by its creativity and simplicity, I sat down with its inventor Jonathan Zornow last week to learn more about the future of fashion automation.

After researching the best polymers to laminate safely onto fabrics using a patent-pending technique, Zornow explained that last year he was able to unveil the “world’s first and only robotically-sewn garment.” Since then, Zornow has been contacted by almost every apparel manufacturer (excluding Crystal) to explore automating their production lines. Zornow has hit a nerve with the industry, especially in Asia, that finds itself in the labor management business with monthly attrition rates of 10% and huge drop offs after Chinese New Year. Zornow shared that “many factory owners were in fact annoyed that they couldn’t buy the product today.”

Zornow believes that automation technologies could initially be a boom for bringing small-batch production back to the USA, prompting an industry of “mass customization” closer to the consumer. As reported in 2015, apparel brands have been moving manufacturing back from China with 3D-printing technologies for shoes and knit fabrics. Long-term, Zornow said, “I think that automation will be an important tool for the burgeoning reshoring movement by helping domestic factories compete with offshore factories’ lower labor costs. When automation becomes a competitive alternative, a big part of its appeal will be how many headaches it relieves for the industry.”

To date, fulfilling the promise of “Made In America” has proven difficult, as Zornow explained we have forgotten how to make things here. In a recent report by the American Apparel & Footwear Association, US apparel manufacturing fell from 50% in 1994 to roughly 3% in 2015, meaning 97% of clothing today is imported. For example, Zornow shared with me how his competitor was born. In 2002, the US Congress passed the Berry Amendment requiring the armed services to make uniforms domestically, which led DARPA to grant $1.75 million to a Georgia Tech team to build a prototype of an automated sewing machine. As Rajan explains, “The Berry Amendment went into effect restricting the military from procuring clothing that was not made in the USA. Complying with the rule proved challenging due to a lack of skilled labour available in the US that only got worse as the current generation of seamstresses retired with no new talent to take their place. It was under these circumstances that the initial idea for Softwear was born and the company was launched in 2012.”

I first met Zornow at RoboBusiness last September when he demonstrated for a packed crowd how Sewbo is able to efficiently recreate the 10-20 steps to sew a T-shirt. However, producing a typical mens dress shirt can require up to 80 different steps. Zornow pragmatically explains the road ahead, “It will be a very long time, if ever, before things are 100% automated.” He points to examples of current automation in fabric production, such as dyeing, cutting and finishing which augment manual labor. Following this trend “they’re able to leverage machines to achieve incredible productivity, to the point where the labor cost to manufacture a yard of fabric is usually de minimis.” Zornow foresees a future where his technology is just another step in the production line as forward-thinking factories are planning two decades ahead, recognizing that in order “to stay competitive they need new technologies” like Sewbo.

The majority of incoming tourists will first encounter robots in the Tokyo Airport. At the time of this writing, there are seven different robots stationed at the airport. Each one features a unique and friendly archetype

Real-time operating systems rely on kernel designs to expedite process communication and synchronization functionalities.

In the past decade, countries and regions around the globe have developed strategic roadmaps to guide investment and development of robotic technology. Roadmaps from the US, South Korea, Japan and EU have been in place for some years and have had time to mature and evolve. Meanwhile roadmaps from other countries such as Australia and Singapore are just now being developed and launched. How did these strategic initiatives come to be? What do they hope to achieve? Have they been successful, and how do you measure success?

To explore these issues, former Robohub Editor Hallie Siegel and Open Roboethics Institute (ORi) Co-founder and Director AJung Moon invited researchers, policymakers, and industry members who have played a significant role in launching and shaping major strategic robotics initiatives in their regions to participate in an IROS 2017 workshop “Best practices in designing effective roadmaps for robotics innovation” to see what is working, what is not, and to uncover what best practices in roadmap development (if any) might be broadly applied to other regions.

Specifically, the workshop sought to examine the process of how these policy frameworks came to be created in the first place, how they have been tailored to local capabilities and strengths, and what performance indicators are being used to measure their success — so that participants could draw from international collective experience as they design and evaluate strategic robotics initiatives for their own regions.
The highlight of the workshop was a pair of panel discussions moderated by robotics ecosystem expert Andra Keay, Managing Director of the robotics industry cluster association Silicon Valley Robotics.
The first panel — featuring Peter Corke (QUT, Australia), Kyung-Hoon Kim (Ministry of Trade, Industry & Energy (MOTIE), South Korea), Rainer Bischoff (euRobotics AISBL, EU), Dario Floreano (NCCR Robotics, EPFL, Switzerland), Sue Keay (Queensland University of Technology, Australia), and Raj Madhavan (Humanitarian Robotics Technologies,LLC, USA) — was an in-depth discussion of regional differences in roadmap motivation, leadership, and strategy design from the perspectives of government, industry and academia.
The second panel — featuring Raja Chatila (IEEE Global Initiative for Ethical Considerations
in Artificial Intelligence & Autonomous Systems), AJung Moon (Open Roboethics Institute),
Alex Shikany (Robotic Industries Association), and Sabine Hauert (Robohub.org) — covered the ways in which issues such as roboethics, public perception and the fear of job loss due to automation are influencing robotics policy in different regions around the globe.

Lenka Pitonakova was part of the audience and provides her impressions below.

State-of-the-art in different countries

The workshop started with presentations on the process of designing roadmaps for robotics research and development. Individual speakers discussed best practises and problems encountered in their respective countries.

Dr. Rainer Bischoff (euRobotics, EU)

Robotics research is in a very mature stage in the EU. A network of robotics researchers and companies closely cooperate on issues such as using robots in healthcare, logistics, as well as for maintenance and inspection of infrastructure. The partnership between the European Commission, and European industry and academia is called SPARC. Decisions about relevant research areas to fund in the European Commission’s H2020 programme are made in a bottom-up fashion – meaning stakeholders get to influence priority areas for funding. This is done through topic groups in robotics established throughout the EU, which help shape the Robotics Multi-annual Roadmap which in turn shapes the work programme of the European Commission. Public outreach is also very important in the EU. Not only are all funding decisions openly available to the public, researchers are encouraged to perform outreach activities.

Dr. Dario Floreano (NCCR Robotics and EPFL, Switzerland)


One main source of funding in Switzerland currently comes from the NCCR scheme, which is a 12-year programme that started in 2010 and has four target areas: research, technology transfer (especially when it comes to creating start-ups), education and outreach. A part of this programme is also structural change in the research institutions of Switzerland. Since 2010, new robotics centres have been created and many new professors have been appointed. Switzerland takes a very pro-active approach to applied research, and technology transfer is as important for them as research itself. The most important areas of interest include wearable robots, mobile robots for search and rescue, human-robot interaction and teleoperation, as well as educational robots that can teach computational thinking.

Sue Keay (Australian Centre for Robotic Vision, Australia)


Australia is currently behind the Western countries when it comes to automation. This is mostly because there is no overreaching body that could unify different research groups and provide substantial research funding. A plan towards creating a centralised institution to support research is currently being formed and efforts are underway to persuade the government about the importance of investing into robotics. To this end, the ICRA 2018 conference, which will take place in Brisbane, Australia, is an important event for the Australian robotics community. Among the focus areas for future research, mining, manufacturing, defence and healthcare have been identified as the most important.

Dr. Kyung-Hoon Kim (Ministry of Trade, Industry & Energy, South Korea)

The government of South Korea has controlled the robotics research focus via the Intelligent Robots Development and Promotion Act since 2008. Every five years, the roadmap for research is re-visited by government experts and new funding areas are identified. The areas of interest include machine learning and big data analysis, human-robot collaboration, development of hardware parts and software platforms, as well as application of robotics in smart factories.

Dr. Raj Madhavan (Humanitarian Robotics Technologies, USA and India)

Researchers in India currently do not get much support from the government when it comes to robotics research, although some work on a research roadmap for robotics started in early 2017. However, the lack of government support is not the only problem that India faces. There also seems to be a lack of interest and commitment from individual researchers to unite their efforts and collaborate on a national level.

Research roadmaps and funding

In a panel discussion that followed the presentations, the following stakeholders in research and innovation were identified:

• Governments: Provide investment money and shape regulations
• Academia: Provides the foresight into new technologies
• Industry: Creates the need for research and applies it.

A crucial factor that influences the interest from government and industry was idenfied: The ability of researchers to provide estimates about the economic impact of their work. Especially in the EU, robotics started growing as a research field when industry became more involved in funding and roadmap creation.

Secondly, it was mentioned that engaging the government and the public is also very important. Because of the ability of government regulations to stop technology from being developed and used, politicians should be engaged with new ideas and with how they will shape the society. On the other hand, end-users, i.e., the public, also need to understand the impact of new technology on their lives, both to encourage the use of new technology and to mitigate fears of its negative impacts. However, engaging all stakeholders and making research and development relevant to all of them is often very difficult because of differences in opinions and long-term goals.

Challenges for adoption of robotics technologies

The second panel discussion focused on challenges for adoption of robotic technologies.

Public acceptance and uncertainty about the impact of technology on well-being of people and society as a whole, as well as the fear of loosing control of autonomous systems, were identified as the most important topics to address. To mitigate these fears, it is useful to provide the public with statistics on how technology impacted jobs in the recent past, as well as to provide well-informed projections for the near future.

It is crucial for scientists to be trained in and to apply best practice in Public communication, especially as the commentary on new technology often comes from the media, where non-experts (consciously or not) misinform the public about the impacts and capabilities of new technology.

This year’s CES was a great show for robots. “From the latest in self-driving vehicles, smart cities, AI, sports tech, robotics, health and fitness tech and more, the innovation at CES 2018 will further global business and spur new jobs and new markets around the world,” said Gary Shapiro, president and CEO, CTA.

But with that breath of coverage and an estimated 200,000 visitors, 7,000 media, 3,000 exhibitors, 900 startups, 2.75 million sq ft of floorspace at two convention centers, hospitality suites in almost every major hotel on the Las Vegas Strip, over 20,000 product announcements and 900 speakers in 200 conference sessions, comes massive traffic (humans, cars, taxis and buses), power outages, product launch snafus and humor:

AI, big data, Amazon, Google, Alibaba and Baidu

“It’s the year of A.I. and conversational interfaces,” said J. P. Gownder, an analyst for Forrester Research, “particularly advancing those interfaces from basic conversations to relationships.” Voice control of almost everything from robots to refrigerators was de rigueur. The growing amount of artificial intelligence software and the race between Amazon, Google and their Chinese counterparts Alibaba and Baidu to be the go-to service for integration was on full display. Signs advertised that products worked with Google Assistant or Amazon’s Alexa or both, or with Duer-OS (Baidu’s conversational operating system) but, by the sheer number of products that worked with the Alexa voice assistant, Amazon appeared to dominate.

“It’s the year when data is no long static and post processed” said Brian Krzanich, Intel’s CEO.  He also said: “The rise of autonomous cars will be the most ambitious data project of our lifetime.” In his keynote presentation he demonstrated the massive volume of data involved in the real-time processing needs of autonomous cars, sports events, smart robotics, mapping data collection and a myriad other sources of data-driven technology on the horizon.

Many companies were promoting their graphics, gaming, and other types of processors. IBM had a large invite-only room to show their Quantum Computer. Their 50-qubit chip is housed in that silver canister at the bottom of the thing/computer. Not shown is the housing which keeps the device super cool. IBM is making the computer available via the cloud to 60,000 users working on 1.7 million experiments as well as commercial partners in finance, materials, automotive and chemistry. (Intel showed their 49-qubit chip code-named Tangle Lake in a segment in Krzanich’s keynote.)

Robots, robotics and startups

Robots were everywhere ranging from ag bots, tennis bots, drones, robot arms, robot prosthetics and robot wheelchairs, to smart home companions, security robots and air, land and sea drones. In this short promotional video produced by CES, one can see the range of products on display. Note the quantity of Japanese, Chinese and Korean manufacturers.

One of the remarkable features of CES is what they call Eureka Park. It’s a whole floor of over 900 startup booths with entrepreneurs eager to explain their wares and plans. The area was supported by the NSF, Techstars and a host of others. It’s a bit overwhelming but absolutely fascinating.

Because it’s such a spread-out show, locations tend to blur. But I visited all the robotics and related vendors I could find in my 28,000-step two-day exploration and the following are ones that stuck out from the pack:

• LiDAR and camera vision systems providers for self-driving vehicles, robots, and automation such as Velodyne, Quanergy and Luminar were everywhere showing near and far detection ranges, wide, narrow and 360° fields of view, and solid state or other conventional as well as software to consolidate all that data and make it meaningful.
  • Innoviz Technologies, an Israeli startup that has already raised $82 million, showed their solid state device (Pro) available now and their low-cost automotive grade product (One) available in 2019.
  • Bosch-supported Chinese startup Roadstar.ai is developing Level 4 multi-sensor fusion solutions (cameras, LiDARs, radars, GPS and others).
  • Beijing Visum Technology, another Chinese vision system startup, but this one uses what they called ‘Natural Learning’ to continually improve what is seen by their ViEye, stereoscopic, real-time vision detection system for logistics and industrial automation.
  • Korean startup EyeDea displayed both a robot vision system and a smart vision module (camera and chip) for deep learning and obstacle avoidance for the auto industry.
  • Occipital, a Colorado startup developing depth sensing tech using twin infrared shutter cameras for indoor and outdoor for scanning and tracking.
  • Aeolus Robotics, a Chinese/American startup working on a $10,000 home robot with functional arms and hands and comms and interactivity that are similar to what IBM’s Watson offers, appeared to be focused toward selling their system components: object recognition, facial/pedestrian recognition, deep learning perception systems and auto safety cameras which interpret human expressions and actions such as fatigue.
• SuitX, a Bay Area exoskeleton spin-off from Ekso Bionics, focused on providing modular therapeutic help for people with limited mobility rather than industrial uses of assistive devices. Ekso, which wasn’t at CES, is providing assistive systems that people strap into to make walking, lifting and stretching easier for employees and the military.
• There were a few marine robots for photography, research and hull inspection:
  • Sublue Underwater AI, a Chinese startup, had a tank with an intelligent ROV capable of diving down to 240′ while sending back full HD camera and sensor data. They also make water tows.
  • RoboSea, also a Chinese startup, was showing land and sea drones for entertainment, research and rescue and photography.
  • QYSea, a Chinese startup making a 4k HD underwater camera robot which can go to a depth of 325′.
  • CCROV, a brand of the Vxfly incubater of China’s Northwestern Polytechnical University, demonstrated a 10-pound tethered camera box with thrusters that can dive more than 300′. The compact device is designed for narrow underwater areas and dangerous environments for people.
  • All were well-designed and packaged as consumer products.
• UBTech, a Chinese startup that is doing quite well making small humanoid toy robots including their $300 StarWars StormTrooper showed that their line of robots are growing from toys to service robots. They were demonstrating the first video-enabled humanoid robot with an Amazon Alexa communication system touting its surveillance capabilities and Avatar modes for this little (17″ tall) walking robot. It not only works with Alexa but can also get apps and skills and accept controls from iOS and Android. Still, like many of the other home robots, they can’t grasp objects, consequently they can’t perform services beyond remote presence and Alexa-like skills.
• My Special Aflac Duck won the CES Best Unexpected Product Award for a social robot designed to look like the white Aflac duck but also designed to help children coping with cancer. This is the second healthcare-related robotic device for kids from Sproutel, the maker of the duck. Their first product was Jerry the Bear for diabetic kids.
• YYD Robo, another Chinese startup, was demonstrating a line of family companion, medical care robots (although the robot’s hands could not grasp), which also served as child care and teaching robots. This Shenzhen-based robot company says they are fully-staffed and have a million sq ft of manufacturing space, yet the robots weren’t working and their website doesn’t come up.
• Hease Robotics, a French mobile kiosk startup, showed their Heasy robotic kiosk as a guide for retail stores, office facilities and public areas. At CES, there were many vending machine companies showing how they are transitioning to smart machines – and in some cases, smart and robotic as the Heasy robotic kiosk.
• Haapie SAS, also a French startup, was showing their tiny interactive, social and cognitive robots – consumer entertainment and Alexa-like capabilities. Haapie also integrates their voice recognition, speech synthesis and content management into smartphone clients.
• LG, the Korean consumer products conglomerate, showed an ambitious line of robot products they called CLOi. One is an industrial floor cleaner for public spaces which can also serve as a kiosk/guide; another has a build-in tray for food and drink delivery in hotels; and a third can carry luggage and will follow customers around stores, airports and hotels. During a press conference, one of the robots tipped over and another wouldn’t hear instructions. Nevertheless all three were well-designed and purposed and the floor cleaner and porter robots are going to help out at the airport for next month’s Winter Olympics.
• Two Chinese companies showed follow-me luggage: 90FUN and their Puppy suitcase and ForwardX and their smart suitcases. 90FUN is using Ninebot/Segway follow-me technology for their Puppy.
• Twinswheel, a French startup, was showing a prototype of their parcel delivery land drone for factories, offices and last-mile deliveries.
• Dobot is a Chinese inventor/developer of a transformable robot and 3D printer for educational purposes and a multi-functional industrial robot arm. They also make a variety of vision and stabilizing systems which are incorporated into their printers and robots. It’s very clever science. They even have a laser add-on for laser cutting and/or engraving. Dobot had a very successful Kickstarter campaign in 2017.
• Evolver Robots is a Chinese developer of mobile domestic service robots specifically designed for children between the ages of 4-12 offering child education, video chat, games, mobile projection and remote control via smartphone.
• Although drones had their own separate area at the show, there were many locations where I found them. From the agricultural spraying drones by Yamaha, DJI and Taiwanese Geosat Aerospace to the little deck-of-cards-sized ElanSelfie or the fold-into-a-5″ X 1/2″ high AEE Aviation selfie drone from Shenzhen, nothing stood out amongst the other 40+ drone vendors to compete with the might of DJI (which had two good-sized booths in different locations).
• Segway (remember Dean Kamen?) is now fully owned by Ninebot, a Beijing provider of all types of robotic-assisted self-balancing scooters and devices. They are now focused on lifestyle and recreational riders in the consumer market including the Loomo which you ride like a hoverboard and then load it up with cargo and have it follow you home or to another place in the facility. At their booth they were pushing the Loomo for logistics operations however it can’t carry much and has balance problems. They would do better having it tow a cart.
• Yujin Robot, a large Korean maker of robotic vacuums, educational robots, industrial robots, mobility platforms for research and a variety of consumer products, was showing their new logistics transport system GoCart with three different configurations of autonomous point-to-point robots.
• The Buddy robot from Blue Frog Robotics won CES’s Robotics and Drones Innovation Award along with Soft Robotics and their grippers and control system that can pick items of varying size, shape and weight with a single device. Jibo, the Dobot (mentioned above) and 14 others also received the Robotics and Drones Innovation Award.

[The old adage in robotics that for every service robot there is a highly-skilled engineer by its side is still true… most of the social and home robots frequently didn’t work at the show and were either idle or being repaired.]

Silly things

• • A local strip club promoted their robotic pole dancers (free limo).
  • At a hospitality suite across from the convention center, the head of Harmony, the sex robot by San Diego area Abyss Creations (RealDoll), was available for demos and interviews. It will begin shipping this quarter at $8-$10,000.
    
  • Crowd-drawing events were everywhere but this one drew the largest audiences: Omron’s ping-pong playing robot.
  • FoldiMate, a laundry folding robot, requires a human to feed the robot one article at a time for it to work (for just $980 in late 2019). Who’s the robot?
  • And Intel’s drones flew over the Bellagio hotel fountains in sync with the water and light musical show. Very cool.
    
  • ABC’s Shark Tank, the hit business-themed funding TV show, was searching for entrepreneurs with interesting products at an open call audition area.

Bottom Line

Each time I return from a CES (I’ve been to at least six) I swear I’ll never go again. It’s exhausting as well as overwhelming. It’s impossible to get to all the places one needs to go — and it’s cold. Plus, once I get there, the products are often so new and untested, that they fail or are over-presented with too much hype. (LG’s new CLOi products failed repeatedly at their press conference; Sony’s Aibo ignored commands at the Sony press event.)

I end up asking myself “Is this technology really ready for prime time? Will it be ready by their promised delivery dates? Or was it all just a hope-fest? A search for funding?” I still have no answer… perhaps all are true; perhaps that’s why I keep going. It’s as if my mind sifted through all the hype and chaff and ended up with what’s important. There’s no doubt this show was great for robotics and that Asian (particularly Chinese) vendors are the new power players. Maybe that’s why I copied down the dates for CES 2018.

GM revealed photos of what they say is the production form of their self-driving car based on the Chevy Bolt and Cruise software. They say it will be released next year, making it almost surely the first release from a major car company if they make it.

As reported in their press release and other sources their goals are ambitious. While Waymo is the clear leader, it has deployed in Phoenix, because that is probably the easiest big city for driving in the USA. Cruise/GM claims they have been working on the harder problem of a dense city like San Francisco.

What’s notable, though, about the Cruise picture is what’s not in it, namely much in the way of dashboard or controls. There is a small screen, and a few controls but little else. Likewise the Waymo 3rd generation “Firefly” car had almost no controls at all.

The car has climate controls and window controls and little else. Of course a touchscreen can control a lot of other things, especially when the “driver” does not have to watch the road.

Combine this with the concept Smart-car self-driving interior from Daimler below, and you see a change in the thinking of the car industry towards the thinking of the high-tech industry.

At most car conferences today, a large fraction of what you see is related to putting new things inside the car — fancier infotainment tools and other aspects of the “connected car.” These are the same companies who charge you $2,000 to put a navigation system into your car that you will turn off in 2 years because your phone does a better job.

It is not surprising that Google expects you to get your music, entertainment and connectivity from the device in your pocket — they make Android. It is a bigger step for GM and Daimler to realize this, and bodes well for them.

While the car is not finalized and the software certainly isn’t, GM feels it has settled on the hardware design of its version 1 car, and is going into production on it. I suspect they will make changes and tweaks as new sensors come down the pipeline, but traditionally car companies have always locked down the main elements of the hardware design a couple of years before a vehicle is available for sale.

One thing both of these cars need more of, which I know well from road tripping, is surfaces and places to put stuff. Cupholders and door pockets aren’t enough when a car is a work or relaxation station rather than something to drive.

What is not clear is if they have been bold enough to get rid of many of the other features not needed if you’re not driving, like fancy adjustable seats. The side-view mirrors are gone but sensors are in their place (it is widely anticipated that they will allow even human driven cars to replace the mirrors with cameras, since that’s better and lower drag.) Waymo’s firefly had the mirrors because the law still demands them.

GM is also already working with NHTSA to get this car an exception to the Federal Motor Vehicle Safety Standards which require the things like the steering wheel that they took out. The feds say they will work quickly on this so it seems likely. Several states are already preparing the legal regime necessary, and GM suggests it will deploy something in 2019.

Not too long ago, I would have ranked GM very far down on the list of carmakers likely to succeed in the robocar world. After they acquired Cruise they moved up the chart, but frankly I had been skeptical about how much a small startup, no matter how highly valued, could change a giant automaker. It now seems that intuition was wrong.