Robohub.org
ep.

039

podcast
 

Learning with Andrea Thomaz and Sethu Vijayakumar

by
20 November 2009



share this:

In this episode we speak with two experts in robot learning. Andrea Thomaz from Georgia Tech looks at how humans can teach and humanoids learn with the hope to create good human-robot interactions. We then speak with Sethu Vijayakumar from the University of Edinburgh about machine learning and how it can be used to teach a robot hand to balance a pole.

Andrea Thomaz

Andrea Thomaz is professor at Georgia Tech and the director of the Socially Intelligent Machines Research Laboratory. With a foot in human-robot interactions thanks to her PhD and Post-doc at MIT with Cynthia Breazeal, Thomaz went on to design her own humanoid-creature named Simon augmented with an amazing designer head and flanked with the most expressive ears you’ll be seeing anytime soon. Simon features an articulated torso, dual 7-DOF arms, and anthropomorphic hands from Meka Robotics.

With Simon and other humanoid robots such as Junior, she is looking at how to make social robots that can learn from humans in their everyday environment. With this endeavor in mind, her lab is studying how humans actually teach and draws conclusions that could be useful when designing future machine learning algorithms. She is also taking inspiration from nature to make robots that can learn in an incremental manner by observing and reproducing what people in their environment are doing, similar to what happens when you put two kids together in a playpen.

Andrea Thomaz is also the author of the Blog “So, Where’s My Robot?” where she posts thoughts on social machine learning. Finally, she was awarded the prestigious “MIT Tech Review 2009 Young Innovators Under 35“.

Sethu Vijayakumar


Sethu Vijayakumar is the Director of the Institute of Perception, Action & Behavior in the School of Informatics at the University of Edinburgh and an associate member of the Institute for Adaptive & Neural Computation. With the Statistical Machine Learning and Motor Control Group there he’s been looking at how robots can learn complex tasks such as balancing a pole using an anthropomorphic arm. His pursuit of the holy grail in machine learning has brought him to tackle the intricacies related to highly changing and dynamic environments. Because of this, his research interests span a broad interdisciplinary curriculum involving basic research in the fields of statistical machine learning, robotics, human motor control, Bayesian inference techniques and computational neuroscience. Finally, he’ll be telling us more generally how machine learning is different from human learning and what he sees as the next steps in this area with a short escapade in the world of prosthetics.

Since August 2007, he holds a Senior Research Fellowship of the Royal Academy of Engineering, co-funded by Microsoft Research in Learning Robotics.

Links:


Latest News:

For more information on the autopsy-performing Virtobot, a great video of the Pac Man Robot Game and to revisit some of 2009′s memorable robots, including SCRATCHBOT, Festo’s Robot Penguins, the Wirelessly controlled Beetle and Robot Fashion Model HRP-4C have a look at 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.





Related posts :



IEEE 17th International Conference on Automation Science and Engineering paper awards (with videos)

The IEEE International Conference on Automation Science and Engineering (CASE) is the flagship automation conference of the IEEE Robotics and Automation Society and constitutes the primary forum for c...
ep.

340

podcast

NVIDIA and ROS Teaming Up To Accelerate Robotics Development, with Amit Goel

Amit Goel, Director of Product Management for Autonomous Machines at NVIDIA, discusses the new collaboration between Open Robotics and NVIDIA. The collaboration will dramatically improve the way ROS and NVIDIA's line of products such as Isaac SIM and the Jetson line of embedded boards operate together.
23 October 2021, by

One giant leap for the mini cheetah

A new control system, demonstrated using MIT’s robotic mini cheetah, enables four-legged robots to jump across uneven terrain in real-time.
23 October 2021, by

Robotics Today latest talks – Raia Hadsell (DeepMind), Koushil Sreenath (UC Berkeley) and Antonio Bicchi (Istituto Italiano di Tecnologia)

Robotics Today held three more online talks since we published the one from Amanda Prorok (Learning to Communicate in Multi-Agent Systems). In this post we bring you the last talks that Robotics Today...
21 October 2021, by and

Sense Think Act Pocast: Erik Schluntz

In this episode, Audrow Nash interviews Erik Schluntz, co-founder and CTO of Cobalt Robotics, which makes a security guard robot. Erik speaks about how their robot handles elevators, how they have hum...
19 October 2021, by and

A robot that finds lost items

Researchers at MIT have created RFusion, a robotic arm with a camera and radio frequency (RF) antenna attached to its gripper, that fuses signals from the antenna with visual input from the camera to locate and retrieve an item, even if the item is buried under a pile and completely out of view.
18 October 2021, by





©2021 - ROBOTS Association


 












©2021 - ROBOTS Association