Robot Talk · 24 Sept 2021 · 28m · Episode 10
Merihan Alhafnawi, a PhD researcher at the University of Bristol, and Dr. John Oyekan, a Lecturer at the University of Sheffield, discuss swarm robotics, focusing on how groups of robots collaborate to achieve common goals. Alhafnawi explains the concept of 'expressive' swarms that provide visual feedback through touchscreens for social applications like brainstorming, while Oyekan details algorithms inspired by nature for tasks such as mapping invisible hazardous substances in search and rescue operations. The episode covers the technical challenges of collision avoidance, human-swarm interaction, and the cognitive load of controlling large numbers of autonomous agents.
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Hosts Daniel and Forbode discuss a Harvard University research project that mimics ant colony behavior to create a decentralized swarm robotics system called 'RANTS'. They explain how the robots use 'photo-pheromones' (light gradients) to coordinate excavation tasks without central control, offering a lightweight alternative to complex AI. The episode also touches on the hosts' sponsor segment regarding IoT solutions for traffic congestion.
Mario Mauerer, Global Robotics Business Manager at Maxon, discusses how humanoid robots are driving actuator innovation, focusing on torque density, simulation models, and safety architectures for commercialization by 2027-2028. David Koelle, Principal Software Engineer at Charles River Analytics, details the NASA ASTRA project, explaining their 'theory of mind' approach to swarm robotics for lunar exploration, which allows heterogeneous robots to coordinate tasks without constant communication. The episode also covers recent industry funding rounds for companies like Waymo and Limox Dynamics, and new US legislation aimed at securing the humanoid supply chain.
Carter Frost, president of the Cabrillo College Robotics Club, explains how his team won the 2019 NASA Swarmathon by solving critical localization issues that defeated other universities. The team overcame hardware flaws in the Swarmy robot, specifically IMU magnetometer interference from motors and GPS antennas, by developing a custom soft/hard iron calibration routine. They also implemented a correlated random walk algorithm and drove slower to avoid obstacles, allowing them to collect significantly more resources than competitors despite using the same limited hardware.
Dr. Kate Darling, research lead for ethics and society at the AI Institute, discusses the intersection of robotics and social science with hosts Steve Crow and Mike Oitzman. They cover the recent RoboBusiness 2023 event, highlighting the industry's focus on humanoids like Agility Robotics' Digit and Figure AI's robot, as well as the integration of Generative AI in robotics. Darling shares her perspective on human-robot interaction, using the Stop & Shop Marty robot and public perception of autonomous vehicles like Waymo and Cruise to illustrate the social challenges of deploying robots in shared spaces.
Hosts Daniel Scott Mitchell and Farbod Moghaddam discuss three recent tech developments: a Technical University of Munich neural network modeling forest fire impacts on Yellowstone, MIT research on assistive robots for helping the elderly get dressed, and a Technical University of Eindhoven drone designed to evacuate nursing homes by detecting human emotions.
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