Episode 80: Resilient robot teams - Danesh Tarapore

Robot Talk · 12 Apr 2024 · 30m · Episode 80

What this episode covers

Danesh Tarapore, an Associate Professor at the University of Southampton, explains how his team uses bio-inspired algorithms to make robot swarms resilient through fault detection and recovery. He details an adaptive immune system model for detecting faults and a distributed trial-and-error approach for recovery, drawing analogies to human motor learning and social insect division of labor. The discussion covers the transition from controlled lab environments to real-world applications, specifically designing sparse, low-cost ground robots for forest monitoring and wave gliders for marine hurricane tracking.

Other shows on the same ground, closest first.

  • The Next Byte Podcast · 25m

    49. What Robots Can Learn from Starfish and Falcons

    Hosts Daniel and Forbode discuss biomimicry in robotics, starting with a video of Grant Imahara visiting Carnegie Mellon University to explore bio-inspired robots like the snake robot. They then detail a starfish larva-inspired micro-robot developed at ETH Zurich that uses ultrasonic waves for targeted drug delivery, and a Peregrine Falcon-inspired drone landing system called 'Snag' developed by Stanford graduates at the University of Groningen.

  • The Next Byte Podcast · 19m

    103. Ant Inspired Swarm Robots

    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.

  • The Next Byte Podcast · 21m

    133. Mighty Morphing All Terrain Robots Made By Nature

    Hosts Daniel and Forbode discuss the M4, a bio-inspired multimodal robot developed by Caltech and NASA JPL that can fly, roll, walk, and tumble using eight different modes of locomotion. They highlight how the robot's AI autonomously selects the best traversal method based on terrain, drawing inspiration from nature such as birds and sea lions. The episode also covers Jonathan Schultz of Team Huge, whose BattleBots design philosophy of accessible core components parallels the M4's adaptive engineering, while exploring applications in space exploration, emergency rescue, and last-mile delivery.

  • The Next Byte Podcast · 21m

    222. Tree-Climbing and Reef-Restoring Robots

    Hosts discuss three robotics projects developed by students at ETH Zurich under the Focus program: Monkey, a tree-climbing robot using screw-based adhesion; Reef Ranger, an autonomous underwater robot for coral restoration; and Argos, an automated monitoring system for laboratory mice welfare. The episode highlights how student constraints drive innovation and how these technologies address ecological and ethical challenges in biology and environmental science.

  • Embedded.fm · 1h 06m

    301: Giant Novelty Check

    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.

The summary, chapters and topics are generated from the episode’s audio by this directory, not written by Robot Talk. The episode itself belongs to its publisher.