Manufacturing the Hand-Held in a plastic injection molding process makes it possible to offer a more stable and cost-effective alternative to 3D printing. Installing it is fast and very easy and it is compatible with most commercially available door handles (Ø 18 - 22 mm).

Robots can be made from soft materials, but the flexibility of such robots is limited by the inclusion of rigid sensors necessary for their control. Researchers created embedded sensors, to replace rigid sensors, that offer the same functionality but afford the robot greater flexibility. Soft robots can be more adaptable and resilient than more traditional rigid designs. The team used cutting-edge machine learning techniques to create their design.

A team of Italian researchers from the BioRobotics Institute, Scuola Superiore Sant'Anna and Stazione Zoologica Anton Dohrn has developed a new and improved version of its Seabed Interaction Legged Vehicle for Exploration and Research (SILVER) with the SILVER2—a robot that can walk around on the seafloor taking video as it goes. In their paper published in the journal Science Robotics, the group describes the robot, its capabilities and how it might be used in research efforts.

There are three adaptations we are watching closely at Aethon since we believe they are a trend and may become more permanent. These adaptations will have a significant influence specifically on the use of automation and autonomous mobile robotics.

There are three adaptations we are watching closely at Aethon since we believe they are a trend and may become more permanent. These adaptations will have a significant influence specifically on the use of automation and autonomous mobile robotics.

The rolling hills of Mars or the moon are a long way from the nearest tow truck. That's why the next generation of exploration rovers will need to be good at climbing hills covered with loose material and avoiding entrapment on soft granular surfaces.

Their client needed a conveying solution integrated into their current facility. The over-sized product, an aircraft wing support beam, needed to be handled incredibly carefully to avoid product damage.

Their client needed a conveying solution integrated into their current facility. The over-sized product, an aircraft wing support beam, needed to be handled incredibly carefully to avoid product damage.

You can watch this seminar here at 1PM EST (10AM PST) on May 15th.

 Andrew Davison (Imperial College London)

Abstract: To enable the next generation of smart robots and devices which can truly interact with their environments, Simultaneous Localisation and Mapping (SLAM) will progressively develop into a general real-time geometric and semantic `Spatial AI’ perception capability. I will give many examples from our work on gradually increasing visual SLAM capability over the years. However, much research must still be done to achieve true Spatial AI performance. A key issue is how estimation and machine learning components can be used and trained together as we continue to search for the best long-term scene representations to enable intelligent interaction. Further, to enable the performance and efficiency required by real products, computer vision algorithms must be developed together with the sensors and processors which form full systems, and I will cover research on vision algorithms for non-standard visual sensors and graph-based computing architectures.

Biography: Andrew Davison is Professor of Robot Vision and Director of the Dyson Robotics Laboratory at Imperial College London. His long-term research focus is on SLAM (Simultaneous Localisation and Mapping) and its evolution towards general `Spatial AI’: computer vision algorithms which enable robots and other artificial devices to map, localise within and ultimately understand and interact with the 3D spaces around them. With his research group and collaborators he has consistently developed and demonstrated breakthrough systems, including MonoSLAM, KinectFusion, SLAM++ and CodeSLAM, and recent prizes include Best Paper at ECCV 2016 and Best Paper Honourable Mention at CVPR 2018. He has also had strong involvement in taking this technology into real applications, in particular through his work with Dyson on the design of the visual mapping system inside the Dyson 360 Eye robot vacuum cleaner and as co-founder of applied SLAM start-up SLAMcore. He was elected Fellow of the Royal Academy of Engineering in 2017.

Robotics Today Seminars

“Robotics Today – A series of technical talks” is a virtual robotics seminar series. The goal of the series is to bring the robotics community together during these challenging times. The seminars are scheduled on Fridays at 1PM EDT (10AM PDT) and are open to the public. The format of the seminar consists of a technical talk live captioned and streamed via Web and Twitter (@RoboticsSeminar), followed by an interactive discussion between the speaker and a panel of faculty, postdocs, and students that will moderate audience questions.

Stay up to date with upcoming seminars with the Robotics Today Google Calendar (or download the .ics file) and view past seminars on the Robotics Today Youtube Channel. And follow us on Twitter!

Upcoming Seminars

Seminars will be broadcast at 1PM EST (10AM PST) here.

22 May 2020: Leslie Kaelbling (MIT)

29 May 2020: Allison Okamura (Stanford)

12 June 2020: Anca Dragan (UC Berkeley)

Past Seminars

We’ll post links to the recorded seminars soon!

Organizers

Contact

Its compact, versatile design enables the system to map small, fragmented and narrow spaces as well as environments with many obstacles and uneven terrain.

Donal Waide, Director of Sales at BifFlow Inc. shares with us his thoughts on how BitFlow is managing through the pandemic as well as insights into what the future of Robotics and Automation may be.

Stroke is the leading cause of serious long-term disability in the US with approximately 17 million individuals experiencing it each year. About 8 out of 10 stroke survivors suffer from "hemiparesis", a paralysis that typically impacts the limbs and facial muscles on one side of their bodies, and often causes severe difficulties walking, a loss of balance with an increased risk of falling, as well as muscle fatigue that quickly sets in during exertions. Oftentimes, these impairments also make it impossible for them to perform basic everyday activities.

Motion picture animation and video games are impressively lifelike nowadays, capturing a wisp of hair falling across a heroine's eyes or a canvas sail snapping crisply in the wind. Collaborators from the University of California, Los Angeles (UCLA) and Carnegie Mellon University have adapted this sophisticated computer graphics technology to simulate the movements of soft, limbed robots for the first time.

A group of researchers and engineers has created a new way for robots to pool data gathered in real time, allowing them to 'think' collectively and navigate their way through difficult, previously unmapped obstacles as a team.

In this episode, Lilly Clark interviews Jeannette Bohg, Assistant Professor at Stanford, about her work in interactive perception and robot learning for grasping and manipulation tasks. Bohg discusses how robots and humans are different, the challenge of high dimensional data, and unsolved problems including continuous learning and decentralized manipulation.

Jeannette Bohg is an Assistant Professor of Computer Science at Stanford University. She was a group leader at MPI until September 2017 and remains affiliated as a guest researcher. Her research focuses on perception for autonomous robotic manipulation and grasping. She is specifically interested in developing methods that are goal-directed, real-time and multi-modal such that they can provide meaningful feedback for execution and learning.

Before joining the Autonomous Motion lab in January 2012, Jeannette Bohg was a PhD student at the Computer Vision and Active Perception lab (CVAP) at KTH in Stockholm. Her thesis on Multi-modal scene understanding for Robotic Grasping was performed under the supervision of Prof. Danica Kragic. She studied at Chalmers in Gothenburg and at the Technical University in Dresden where she received her Masters in Art and Technology and her Diploma in Computer Science, respectively.

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