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The DARPA SubT Challenge: A robot triathlon

One of the biggest urban legends growing up in New York City were rumors about alligators living in the sewers. This myth even inspired a popular children’s book called “The Great Escape: Or, The Sewer Story,” with illustrations of reptiles crawling out of apartment toilets. To this day, city dwellers anxiously look at manholes wondering what lurks below. This curiosity was shared last month by the US Defense Department with its appeal for access to commercial underground complexes.

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The US military’s research arm, DARPA, launched the Subterranean (or SubT) Challenge in 2017 with the expressed goal of developing systems that enhance “situational awareness capabilities” for underground missions. While the prospect of armies utilizing machines to patrol sunken complexes conjures up images of the Matrix, in reality one of the last frontiers to be explored on Earth is below the surface. As SubT moves closer to its culminating event planned for 2021, the agency is beginning the first phase of three planned real-world tests. According to the contest description the initial focus area will be “human-made tunnel systems,” followed by “underground urban environments such as mass transit and municipal infrastructure,” and then concluding with “naturally occurring cave networks.” This summer DARPA issued a Request For Information for subsurface infrastructure in the interest of “global security and disaster-related search and rescue missions.”

Competing technologists will have the chance to win $2 million for hardware inventions and $750,000 for software innovations that “disruptively and positively impact how the underground domain is leveraged.” The types of solutions being considered include platforms “to rapidly map, navigate, and search unknown complex subterranean environments to locate objects of interest.” In further explaining the objectives, Timothy Chung, DARPA program manager, said: “One of the main limitations facing warfighters and emergency responders in subterranean environments is a lack of situational awareness; we often don’t know what lies beneath.” Chung’s boss, Fred Kennedy, Director of the Tactical Technology Office, confirmed, “We’ve reached a crucial point where advances in robotics, autonomy, and even biological systems could permit us to explore and exploit underground environments that are too dangerous for humans. Instead of avoiding caves and tunnels, we can use surrogates to map and assess their suitability for use.” Kennedy even coined a catch phrase for the challenge – “making the inaccessible accessible.” 

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In an abandoned Pennsylvania coal mine, on a sweltering August afternoon, eleven teams from across the globe came with 64 terrestrial robots, 20 unmanned aerial vehicles and one autonomous blimp to compete in the first wave of the SubT Challenge. The course included four events each lasting an hour deep inside the mine, which was originally built by the Pittsburgh Coal Company in 1910. Each team’s fleet of machines had to autonomously locate, identify and record 20 items or artifacts. The only team to score in double digits in all four independent runs was Explorer of Carnegie Mellon University. CMU is a DARPA Challenge favorite with a winning record that includes the 2007 Urban Challenge and 2015 Robotics Challenge. This year it had the distinct advantage of being local, scouting out the location beforehand to better plan its tactics for live competition. As Courtney Linder of Popular Mechanics writes, “Explorer regularly practiced at the Tour-Ed Mine in Tarentum, which is normally only frequented by tourists who want to check out a coal mine formerly owned by Allegheny Steel. They periodically flew drones and watched their ground robots exploring the cavernous, maze-like depths.”

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The biggest hurdles for teams competing below ground are the lack of Global Position System (GPS) signals and WIFI communications. To safely navigate the cavernous course of these GPS-denied environments, SubT machines had to rely solely on a fusion of on-board sensors, including: LIDAR, cameras and radar. In explaining how his team won to the Pittsburgh Post-Gazette, CMU lead, Sebastian Scherer said they employed up to eight robots that created its own WIFI network to “talk” to each other while simultaneously mapping the environment with its sensors. Deploying a swarm approach, the robots acted as a collective unit working together to fill in data gaps, which meant that even if one went offline it was still able to pilot using its onboard systems and previously downloaded maps. Leading up to the competition the CMU team utilized computer simulations to strategize its approach, but understood the limitations of exclusively planning in the virtual world. As Scherer’s collaborator, Matt Travers, explains, “Our system may work perfectly in simulation and the first time we deploy, we may take the exact same software from the simulation and put it in the robot and it drives right into a wall and you go figure out why.” CMU’s geographic proximity to the test site seemingly played a critical role in their team achieving high scores.

While Explorer walked off with some nominal prize money, all eleven teams are committed to the same goal of full autonomy regardless of the environment and manual input. As Travers exclaims, “We’d like to build a system that’s going to be agnostic to the types of mobility challenges that we’ll face. And this is certainly a difficult thing to do.” Reflecting on the August gathering, the creativity of invention unified a global community towards a single purpose of saving lives. In the words of the program’s organizer, Chung, “We are inspired by the need to conduct search and rescue missions in a variety of underground environments, whether in response to an incident in a highly populated area, a natural disaster, or for mine rescue.” The next round will take place in February quite possibly in the sewers of New York City (alligators and all). As Chung cautions the contestants, “Prepare for a few new surprises. The SubT Challenge could be compared to a triathlon. DARPA is not looking just for the strongest swimmer, runner, or cyclist, but rather integrated solutions that can do all three.”

Day three at #SciRocChallenge: drone delivery of medical supplies

TeamBathDrones Research’s aerial robot. Photo: European Robotics League

The European Robotics League (ERL) presents the SciRoc Challenge, a new robotics competition on smart cities that occurs every two years in a European city. Funded by the European Commission’s Horizon 2020 framework programme, the first SciRoc challenge takes place in the city of Milton Keynes, United Kingdom. In the context of smart shopping, robots interact with the Milton Keynes Data Hub (MK:DataHub) in a shopping mall. They update stock lists, take customers’ orders or find out the location of a person in need. On the third day of the competition, teams continued competing in the five different episodes and the public could see the first trials in the emergency category. The aerial teams were ready to start delivering autonomously the first-aid kit to the mannequin placed inside the flying arena!

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Day three at #SciRocChallenge: drone delivery of medical supplies

TeamBathDrones Research’s aerial robot. Photo: European Robotics League

The European Robotics League (ERL) presents the SciRoc Challenge, a new robotics competition on smart cities that occurs every two years in a European city. Funded by the European Commission’s Horizon 2020 framework programme, the first SciRoc challenge takes place in the city of Milton Keynes, United Kingdom. In the context of smart shopping, robots interact with the Milton Keynes Data Hub (MK:DataHub) in a shopping mall. They update stock lists, take customers’ orders or find out the location of a person in need. On the third day of the competition, teams continued competing in the five different episodes and the public could see the first trials in the emergency category. The aerial teams were ready to start delivering autonomously the first-aid kit to the mannequin placed inside the flying arena!

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BrainWave: Managing AV&R’s PROFILING, POLISHING & BLENDING Robotic Systems

The AV&R team has developed a software for our robotic machines with the mission to make robotics accessible to everyone. This software is the glue which orchestrates the interaction between the system components in a single user-friendly interface. Comparing our machines to ourselves as humans, this software would be the control center of all faculties of the body, hence its name: BrainWave.

Day two at #SciRocChallenge: robot manipulation in human environments

Team bi-it-bots KUKA platform for the shopping pick and pack episode. Photo Credits: European Robotics League

The ERL Smart Cities Robotics Challenge 2019 takes place from 17-21st September in Milton Keynes, United Kingdom. Funded by the European Commission under the SciRoc Horizon 2020 project, this new challenge of the European Robotics League (ERL) focuses on the role of robots in smart cities. The competition includes five different episodes or scenarios under three categories: human-robot interaction & mobility, emergency and manipulation. On the second day of the competition teams kept working on improving their scores to secure a place in the finals.

Manipulation
The SciRoc episodes under this category require robots to achieve manipulation tasks, applying some of the task benchmarks (TBMs) of the ERL Professional and the ERL Consumer Service Robots leagues. The episodes are open to robots able to navigate, and equipped with arms and/or effectors for the manipulation of objects. The episodes in which teams can participate are: Shopping pick and pack (E07) and Through the door (E10).

Episode (E07): Shopping pick and pack
This episode sponsored by OCADO addresses the problem of delivering customised orders in a grocery shop. The customer uses an app on a tablet to select a limited number of items and makes an order. The system processes the order and sends it to the robot that will collect the items from the shop shelves and put them into a delivery area.

The main functionality tested in this episode is mobile manipulation of an autonomous robot, although it also requires object perception.

Team bi-it-bots testing. Photo Credits: European Robotics League

In the latest years, mobile manipulation has become a problem of interest among researchers due to the variety and complexity of challenges and robot capabilities that are involved.

“Different objects need different type of grasping. There is not a universal type of grasping, so robots must know which grasp to use in each case. For this episode we chose a range of packaged products, from deformable objects such as a pack of seeds to reflective objects like a jar of honey or a metallic tube of tomato puree. On the shelves there are rows of the same product, this makes it more challenging for the robot to grab the object without damaging it or the ones surrounding it. It is also important that the robot is capable of understanding if it failed to achieve the task, requiring it to try again” comments Roberto Capobianco, lecturer at the Sapienza University of Rome and lead member of the technical committee of Episode E07.

The competition arena reproduces a grocery shop. It has shelves with products and a delivery area. The role of the robot in this context is to support and provide customers with the deliveries they ordered. It also can assist the shop staff by connecting to the data hub and automatically updating the list of products, take care of stock or check if the shelves need to be refilled.

“OCADO was interested in this episode from the very beginning and contributed actively to the rulebook. They helped us design the layout of the arena to make it realistic and at the same time closer to their idea of how a smart grocery shop could be in the (near) future” explains Capobianco.


(Up) TIAGo robot picking a tube of tomato puree. (Bottom) Team CATIE Robots testing the picking task. Photo Credits: European Robotics League.

Due to the complexity of the manipulation tasks, only two teams participate in this episode: CATIE Robotics and b-it-bots.
“Yesterday we tested successfully the navigation and taking orders tasks. Today we are focusing on the second part of the episode, which involves detecting the different objects, grabing them and putting them in the red boxes. We expect the robot to be able to complete the full sequence tomorrow” says Clement Pinet, software engineer at CATIE and team member of CATIE Robotics.

Episode (E10): Through the door
This episode aims at evaluating the capability of an autonomous robot to interact with a hinged door. Hinged doors are common in human environments and probably, one of the pieces of engineering most closely matched to human capabilities and limitations. This means that they are easy to use for a standard person but can be difficult or impossible to operate for those who do not match that standard criteria. For instance, people with disabilities, small children, animals and mobile machines such as robots.
“In a long-term view, robots will live together with people in their houses and work in a human environment. It is important that robots can manage things that are common for us, one of those things is doors. If you have a robot at home to assist you, it should be able to open the door to go from a room to another without your help. This episode is interesting for society for this reason, and for researchers because it is a complex manipulation task. The robot has to manipulate an object that has multiple mobile elements that need to be moved at the same time. When we open a door, we move the handle and at the same time we move the door.” explains Giulio Fontana, research engineer at Politecnico di Milano, and lead member of the technical committee of Episode E10.

The main functionality tested in this episode is interaction with physical objects, although navigation and mapping are also required to complete the tasks.

The robots must identify the door, approach it, open it and go through it. In each run the configuration of the handle, the torque (e.g. simulating a small rock behind it or a big box) and the colour of the surface may change; pushing teams to find a more general approach to the problem.

(Up) The Toyota HSR robot attempts to grab the door handle. (Bottom) Team b-it-bots setting up to participate in the episode “Through the door”. Photo Credits: European Robotics League

Minh Nguyen, master student at the Hochschule Bonn-Rhein-Sieg and team member of b-it-bots comments “The complexity is solving this problem in a general way. There are many sensors involved in the task of opening a door: vision, tactile, force torque, etc. and humans have a background knowledge of how to open doors or operate them. We have been interacting with different types of doors all our life. Getting information from the interaction between the robot and the door will help us to better integrate all the different aspects necessary for opening it.”

The “Through the door” episode is funded by EUROBENCH Horizon 2020 project with the aim to contribute and consolidate a benchmarking methodology for human-centred robots such as prostheses, exoskeletons and humanoids. Researchers and engineers behind the Modular Active Door for RObot Benchmarking (MADROB) have developed a task benchmark (TBM) that can also be used within the benchmarking at competitions of the European Robotics League.

“For the SciRoc challenge we use only the motion control part. The sensor part is tailored to the requirements of EUROBENCH and is not used in this competition” says Fontana.

Martino Migliavacca, CEO of Nova Labs, a spin-off of the Artificial Intelligence and Robotics laboratory of Politecnico di Milano and partner in MADROB, explains how the sensors on both sides of the door work. “We measure with sensors the distance to the floor, so we can know if the robot has gone through the door or not. In this image you can see the signal of a sensor located above the door handle, the drop on the signal means that a robot or a person has gone through the door.”

Signal from a door sensor. Photo Credits: Nova Labs

The two teams competing in this episode use commercial robotics platforms. The team Leeds Autonomous Service Robots participated with a PAL Robotics TIAGo robot, while the team b-it-bots participated with the current RoboCup@Home domestic standard platform: the Toyota HSR.

Team Leeds Autonomous Service Robots. Photo Credits: European Robotics League

For more information on the episodes including the evaluation criteria, check the SciRoc Rulebook – episode E07 and SciRoc Rulebook – Episode E10.

Don’t miss tomorrow’s Day Three recap on emergency drones in urban environments.

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