Robohub.org
ep.

032

podcast
 

Brain-machine interfaces with Charles Higgins and Steve Potter


by
14 August 2009



share this:

In today’s show we’ll be speaking with two experts in the field of brain-machine interfaces. Our first guest, Charles Higgins from the University of Arizona tells us how he uses insects to control robot motion and how they might be used in the future to develop new biological sensors for artificial systems.
We then speak with Steve Potter from the Georgia Institute of Technology. Instead of taking a fully developed brain and connecting it to a robot, he grows neural circuitry in a Petri-dish and interfaces it with robots, with the ambition to discover how we learn and memorize.

Charles Higgins

Charles Higgins is associate professor and leader of the Higgins Lab at the University of Arizona. Though he started as an electrical engineer, his fascination with the natural world has led him to study insect vision and visual processing, and to try to meld together the worlds of robotics and biology. This fascination and his interest to share it with others brings him every year to the Neuromorphic Engineering Workshop in Telluride, Colorado, where he met our interviewer Adam and took him dragonfly-hunting!

Higgins first tells us about his experiments with natural systems such as dragonflies, and how he’s learning about how their brains work in the hope of applying some of the concepts of neurobiology to engineering systems. He then talks about his most recent work in trying to use the amazing visual system of a dragonfly as a sensor to control a robot, and in turn to provide motion stimulus back to the dragonfly in a closed-loop system. He finishes by telling us a bit about the future in which we will design insect-inspired robots, or even have insects built-in to them directly!

Steve Potter

Steve Potter is the Director of the Potter Group which is part of the Laboratory for NeuroEngineering, a collective research unit shared between Emory University and the Georgia Institute of Technology. To understand how the neurocircuitry in the brain can lead to learning and memory, he’s been growing neural circuits in Petri-dishes and hooking them up to the sensors and actuators of robots. The embodiment provides the stimulus needed for the brain to develop. Because the neurons are in a dish, they can easily be monitored over time, providing a close-up sneak peak into the brain activity.

Robots that have been hooked up to this system include the Koala and Khepera wheeled robots from K-team and a robot artist named MEART (Multi-Electrode Array Art). MEART was built in collaboration with the SymbioticA Research Group and went on tour around the world, drawing pictures based on stimulation from its in-vitro brain and feeding back camera images of its art. After weeks of stimulation, the brain actually calms down, providing insight into the possible treatment of epilepsy.



MEART Robotic Arm

Finally, Potter gives us his take on whether these hybrid living robots (Hybrots), or Animats are more life or machine?

Links:


Latest News:

For more information on the LEGO Moonbots challenge, the AUVSI conference and the Evolta robot, visit the Robots Forum.
View and post comments on this episode in the forum



tags: ,


Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.
Podcast team The ROBOTS Podcast brings you the latest news and views in robotics through its bi-weekly interviews with leaders in the field.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Robot Talk Episode 156 – Rugged robots for dangerous missions, with Gavin Kenneally

  15 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Gavin Kenneally from Ghost Robotics about robot dogs for defence, security, and public safety.

Developing active and flexible microrobots

  13 May 2026
This class of robots opens up possibilities for biomedical applications.

How to teach the same skill to different robots

  11 May 2026
A new framework to teach a skill to robots with different mechanical designs, allowing them to carry out the same task without rewriting code for each.

Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff

  08 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Melissa Greeff from Queen's University about autonomous navigation and learning for drones.

New understanding of insect flight points way to stable flapping-wing robots

  07 May 2026
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify.

Robotically assembled building blocks could make construction more efficient and sustainable

  05 May 2026
Research suggests constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint.

Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides

  01 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

  29 Apr 2026
Researchers develop ultrasound-based perception system inspired by bat echolocation.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence