Human-Robot interaction and whole-body Robot sensing
Event details
| Date | 03.05.2013 |
| Hour | 11:00 |
| Speaker |
Vladimir Lumelsky, Professor Emeritus, University of Wisconsin Bio: Dr. Lumelsky is Professor Emeritus at University of Wisconsin-Madison. His Ph.D. in Applied Math is from the Institute of Control Sciences, Russian National Academy of Sciences, Moscow. He has held research and faculty positions with Ford Motor Research Labs, General Electric Research Center, Yale University, UW-Madison, University of Maryland, NASA-Goddard Space Center. Concurrently he held visiting positions with the Tokyo institute of Science, Japan; Weizmann Institute, Israel; USA National Science Foundation; USA-Antarctica South Pole Station; NASA. |
| Location |
INF328
|
| Category | Conferences - Seminars |
Applications that require robots operating in an uncertain environment or need close human-robot interaction are in great demand. Examples include robots preparing the Mars surface for human arrival; robots for assembly of large space telescopes; robot helpers for the elderly; robotic search and disposal of war mines. Advances in this area, while impressive, are also slow to come. Difficulties are many, both on the robotics side and on human side: robots have hard time adjusting to unstructured tasks, while human cognition has serious limits in manipulating 3D motion. As a result, applications where robots operate near humans – or far away from them – are exceedingly rare and exceedingly slow. The way out of this impasse is to supply the robot with a whole-body sensing, plus related intelligence - an ability to sense surrounding objects at the robot’s whole body and utilize this knowledge in real time. This calls for large-area flexible arrays - sensitive skin covering the whole robot body. Whole-body sensing brings interesting, even unexpected, properties: robots become inherently safe; human operators can move them fast, with “natural” speeds; resulting robot motion strategies exceed human spatial reasoning skills; natural synergy of human-robot teams becomes realistic; a mix of supervised and unsupervised operation becomes feasible. We will review the algorithmic, cognitive science, hardware (materials, electronics, computing), and control issues involved in realizing such systems.
Practical information
- General public
- Free
Organizer
- Leblebici Anil
Contact
- Leblebici Anil