Robohub.org
 

ShanghAI Lectures 2012: Lecture 10 “How the body shapes the way we think”


by
06 May 2013



share this:
ShanghAIGlobeColorSmall

This concludes the ShanghAI Lecture series of 2012. After a wrap-up of the class, we announce the winners of the EmbedIT and NAO competitions and end with an outlook of the future of the ShanghAI Lectures.

Then there are three guest lectures: Tamás Haidegger (Budapest University of Technology and Economics) on surgical robots, Aude Billard (EPFL) on how the body shapes the way we move (and how humans can shape the way robots move), and Jamie Paik (EPFL) on soft robotics.

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.

 

Tamás Haidegger: Human Skills for Robots: Transferring Human Knowledge and Capabilities to Robotic Task Execution in Surgery

Almost 90 years ago, the idea of telesurgery was born, along with the initial concept of robots. From the early 1970s, researchers were focusing on robotic telepresence, to empower surgeons to treat patients at a distance. The first systems appeared over 20 years ago, and robotic surgery has quickly become a standard-of-care for certain procedures—at least in the USA. Over the decades, the control concept remained the same; a human surgeon guiding the robotic tools based on real-time sensory feedback. However, from the beginning of the development, the more exciting (and sometimes frightening) questions have been linked to machine learning, AI and automated surgery. In the true sense of automation, there have only been unclear reports of one single robotically planned and executed surgery so far, despite the fact that many research groups are working on the problem. This talk introduces the major efforts currently undertaken in centers of excellence around the globe to transfer the incredibly diverse and versatile human cognition into the domain of surgical robotics.

References

  • P. Kazanzides, G. Fichtinger, G. D. Hager, A. M. Okamura, L. L. Whitcomb, and R. H. Taylor, “Surgical and Interventional Robotics: part I,” IEEE Robotics and Automation Magazine (RAM), vol. 15, no. 2, pp. 122–130, 2008.
  • G. Fichtinger , P. Kazanzides, G. D. Hager, A. M. Okamura, L. L. Whitcomb, and R. H. Taylor, “Surgical and Interventional Robotics: part II,” IEEE Robotics and Automation Magazine (RAM), vol. 15, no. 3, pp. 94–102, 2008.
  • G. Hager, A. Okamura, P. Kazanzides, L. Whitcomb, G. Fichtinger, and R. Taylor, “Surgical and Interventional Robotics: part III,” IEEE Robotics and Automation Magazine (RAM), vol. 15, no. 4, pp. 84–93, 2008.
  • C. E. Reiley, H. C. Lin, D. D. Yuh, G. D. Hager. “A Review of Methods for Objective Surgical Skill Evaluation,” Surgical Endoscopy, vol. 25, no. 2, pp. 356–366, 2011.

 

Aude Billard: How the body shapes the way we move and how humans can shape the way robots move

In this lecture Aude Billard advocates that it is advantageous to have robots move with a dynamics that resembles the dynamics of motion of natural bodies, even if the robots do not resemble humans in their physical appearance (e.g. industrial robots). This will make their motion more predictable for humans and hence make the interaction safer. She then briefly presents current approaches to modeling the dynamics of human motion in robots.

A survey of issues on robot learning from human demonstration can be found at:
http://www.scholarpedia.org/article/Robot_learning_by_demonstration

 

Jamie Paik: SOFT Robot Challenge and 
Robogamis



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


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

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

AURA Foresight Reaches Global XPRIZE Wildfire Finals in Alaska

  19 Jun 2026
One of only four teams remaining from more than 130 competitors worldwide, our team AURA Foresight is developing autonomous technology to stop wildfires before they grow out of control. AURA Foresi...

Robot Talk Episode 161 – Collaborative haptic systems, with Allison Okamura

  19 Jun 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Allison Okamura from Stanford University about developing advanced robotic systems for haptic (touch) interaction.

New research enables a robot to chart a better course

  17 Jun 2026
By rapidly generating a smooth path plan that cuts travel time and avoids obstacles, the open-source “MIGHTY” system could streamline disaster recovery and parcel delivery.

Entangled robotic matter with cohesive motion

  15 Jun 2026
Engineers have developed a robotic collective that behaves less like a machine and more like a material that flows.

Robot Talk Episode 160 – Robotic blacksmiths, with Edward Mehr

  12 Jun 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Edward Mehr from Machina Labs about their RoboCraftsman that shapes complex metal parts for the aerospace, defence, and automotive industries.

Congratulations to the #AAMAS2026 best paper award winners

  08 Jun 2026
Find out who won in the categories of best paper, best student paper, and best blue sky paper.

Robot Talk Episode 159 – Robot sensing and manipulation, with Maria Koskinopoulou

  05 Jun 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Maria Koskinopoulou from Heriot-Watt University about autonomous robotic manipulators for surgery, industry, and beyond.

Global robotics technology roadmap

  03 Jun 2026
A multi-regional, cross-domain strategic perspective for Europe, Asia, and the United States.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence