Robohub.org
 

ShanghAI Lectures: Hisato Kobayashi “AI-ish approach for complicated robot control”


by
05 December 2013



share this:

HisatoKobayashiGuest talk in the ShanghAI Lectures, 2009-11-12

If we try to describe any kinds of robot by mathematical models, they must be very complicated equations. Even, such robotic systems are categorized as a conventional dynamic system consist of positive definite inertia matrix, Coriolis’ force term, friction term, gravity term and so on, we cannot derive any authentic control scheme from such complicated nonlinear systems.

Of course, we can make a servo system for a joint control but we do not have any systematic control scheme for whole robots.

https://www.youtube.com/watch?v=6-n6meJXyQo

Hisato Kobayashi was born in Japan 1951. He graduated from Waseda University, he received both master degree and doctoral degree in electrical engineering from Waseda University in 1975 and 1978 respectively. During 1977-1982, he was a research associate of Tokyo University Agriculture and Technology. He joined Hosei University in 1982. He spent almost one year at Stuttgart University Germany 1988-1989 as an invited visiting researcher of Alexander Humboldt Foundatiion. He is now professor of Hosei University Tokyo, department of art and technology,he was president of Hosei University Research Institute, California. During 1998-2001, he was a visiting scholar of Stanford University and doing a joint project entitled “Sleep Smart Project.” He was Editor in Chief of Advanced Robotics, which was issued by Robotics Society in Japan and published by Brill Publisher in Holland. He was elected as fellow of IEEE in 2002. His research interests cover control theory, mechatronics systems, robotics and health care systems.

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.

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 140 – Robot balance and agility, with Amir Patel

  16 Jan 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Amir Patel from University College London about designing robots with the agility and manoeuvrability of a cheetah.

Taking humanoid soccer to the next level: An interview with RoboCup trustee Alessandra Rossi

and   14 Jan 2026
Find out more about the forthcoming changes to the RoboCup soccer leagues.

Robots to navigate hiking trails

  12 Jan 2026
Find out more about work presented at IROS 2025 on autonomous hiking trail navigation via semantic segmentation and geometric analysis.

Robot Talk Episode 139 – Advanced robot hearing, with Christine Evers

  09 Jan 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Christine Evers from University of Southampton about helping robots understand the world around them through sound.

Meet the AI-powered robotic dog ready to help with emergency response

  07 Jan 2026
Built by Texas A&M engineering students, this four-legged robot could be a powerful ally in search-and-rescue missions.

MIT engineers design an aerial microrobot that can fly as fast as a bumblebee

  31 Dec 2025
With insect-like speed and agility, the tiny robot could someday aid in search-and-rescue missions.

Robohub highlights 2025

  29 Dec 2025
We take a look back at some of the interesting blog posts, interviews and podcasts that we've published over the course of the year.

The science of human touch – and why it’s so hard to replicate in robots

  24 Dec 2025
Trying to give robots a sense of touch forces us to confront just how astonishingly sophisticated human touch really is.



 

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