Robohub.org
 

ShanghAI Lectures: Koh Hosoda “Compliant Body as a Source of Intelligence”


by
21 November 2013



share this:

KohHosoda_0Guest talk in the ShanghAI Lectures, 2009-11-05

Animals and Humans utilize their compliance: muscular system and soft skin. The compliance plays an important role to exhibit intelligent behavior. To build an intelligent artificial agent, therefore, soft material is crucial. In the lecture, I will talk about several robots consisting of soft material for adaptive behavior. They are viewed from the design principles: cheap design, material property and redundancy.

The ShanghAI Lectures are a videoconference-based lecture series on Embodied Intelligence run by Rolf Pfeifer and organized by me and partners around the world.

https://www.youtube.com/watch?v=bVKUcgOc7Pg

Koh Hosoda received the Ph.D. degree in mechanical engineering from Kyoto University, Japan in 1993. From 1993 to 1997, he was an Assistant Professor of Mechanical Engineering for Computer-Controlled Machinery, Osaka University. From 1997 to 2010 he was an Associate Professor of the Department of Adaptive Machine Systems, Osaka University. From 2005 to 2010, he was a group leader of the JST Asada ERATO Project, as well. From Apr 2010, he has been a Professor of the Graduate School of Information Science and Technology, Osaka University. He stayed at AI laboratory, Zurich as a guest professor through Apr 1998 to Mar 1999.

The ShanghAI lectures have brought us a treasure trove of guest lectures by experts in robotics. You can find the whole series from 2012 here. Now, we’re bringing you the guest lectures you haven’t yet seen from previous years, starting with the first lectures from 2009 and releasing a new guest lecture every Thursday until all the series are complete. Enjoy!



tags: , ,


Nathan Labhart Co-organizing the ShanghAI Lectures since 2009.
Nathan Labhart Co-organizing the ShanghAI Lectures since 2009.





Related posts :



Robot Talk Episode 121 – Adaptable robots for the home, with Lerrel Pinto

  16 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Lerrel Pinto from New York University about using machine learning to train robots to adapt to new environments.

What’s coming up at #ICRA2025?

  16 May 2025
Find out what's in store at the IEEE International Conference on Robotics & Automation, which will take place from 19-23 May.

Robot see, robot do: System learns after watching how-tos

  14 May 2025
Researchers have developed a new robotic framework that allows robots to learn tasks by watching a how-to video

AI-powered robots help tackle Europe’s growing e-waste problem

  12 May 2025
EU-funded researchers have developed adaptable robots that could transform the way we recycle electronic waste, benefiting both the environment and the economy.

Robot Talk Episode 120 – Evolving robots to explore other planets, with Emma Hart

  09 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Emma Hart from Edinburgh Napier University about algorithms that 'evolve' better robot designs and control systems.

Robot Talk Episode 119 – Robotics for small manufacturers, with Will Kinghorn

  02 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Will Kinghorn from Made Smarter about how to increase adoption of new tech by small manufacturers.

Multi-agent path finding in continuous environments

  01 May 2025
How can a group of agents minimise their journey length whilst avoiding collisions?

Interview with Yuki Mitsufuji: Improving AI image generation

  29 Apr 2025
Find out about two pieces of research tackling different aspects of image generation.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence