Robohub.org
 

ShanghAI Lectures 2012: Lecture 9 “Ontogenetic development”


by
25 April 2013



share this:
ShanghAIGlobeColorSmall

In the 9th part of the ShanghAI Lecture series, we look at ontogenetic development as Rolf Pfeifer talks about the path from locomotion to cognition. This is followed by two guest lectures: The first one by Ning Lan (Shanghai Jiao Tong University, China) on cortico-muscular communication in the nervous system, the second by Roland Siegwart (ETH Zurich) on the design and navigation of robots with various moving abilities.

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.

 

Ning Lan: Cortico-Muscular Communication of Movement Information by Central Regulation of Spindle Sensitivity

Ning Lan is Professor at the Shanghai Jiao Tong University in China. He tells us about cortico-muscular communication in the nervous system.

 

Roland Siegwart: Design and Navigation of Wheeled, Running, Swimming and Flying Robots

Roland Siegwart is professor at ETH Zurich and the director of the Autonomous Systems Laboratory.

Robots are rapidly evolving from factory work-horses, which are physically bound to their work-cells, to increasingly complex machines capable of performing challenging tasks as search and rescuing, surveillance and inspections, planetary exploration or autonomous transportation of goods. This requires robots to operate in unstructured and unpredictable environments and various terrains. This talk will focus on design and navigation aspects of wheeled, legged, swimming and aerial robots operating in complex environments.

Siegwart presents wheeled inspection robots designed to crawl into machines and take various measurement, quadruped walkers that exploit natural dynamics and serial elastic actuation, swimming robots and autonomous micro-helicopters used to inspect cluttered, GPS denied cities or narrow indoor environments. He also presents a small fixed-wing airplane capable of staying in the air indefinitely due to its solar powered generator.

http://www.youtube.com/watch?v=1jZtOlIrxjY

Related links:



tags: , , , , , , , , , , , , , , , ,


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





Related posts :



Why companies don’t share AV crash data – and how they could

  01 Dec 2025
Researchers have created a roadmap outlining the barriers and opportunities to encourage AV companies to share the data to make AVs safer.

Robot Talk Episode 135 – Robot anatomy and design, with Chapa Sirithunge

  28 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Chapa Sirithunge from University of Cambridge about what robots can teach us about human anatomy, and vice versa.

Learning robust controllers that work across many partially observable environments

  27 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.

Human-robot interaction design retreat

  25 Nov 2025
Find out more about an event exploring design for human-robot interaction.

Robot Talk Episode 134 – Robotics as a hobby, with Kevin McAleer

  21 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Kevin McAleer from kevsrobots about how to get started building robots at home.

ACM SIGAI Autonomous Agents Award 2026 open for nominations

  19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.

Robot Talk Episode 133 – Creating sociable robot collaborators, with Heather Knight

  14 Nov 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Heather Knight from Oregon State University about applying methods from the performing arts to robotics.



 

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