Text full multimedia monochrome

First time here?

Find out more about how The Lecture List works.

Coronavirus situation update

Our lecture organisers may or may not have had time to update their events with cancellation notices. Clearly social gatherings are to be avoided and that includes lectures. STAY AT HOME FOLKS, PLEASE.

Help!

Find out what you can do to keep The Lecture List online

Teaching Robots to be Agile

Professor Aude Billiard on "Teaching Robots to be Agile", at the Department of Informatics, King's College London.


The Department of Informatics, King's College London, is delighted to invite you to the Distinguished Lecture of Professor Aude Billiard (School of Engineering, École Polytechnique Fédérale de Lausanne).

Date: Monday 25 April 2016, 18:30-19:30

Location: K6.29 (Anatomy Lecture Theatre), King's Building, Strand Campus, King's College London. A drinks reception will follow this lecture.

Title: Teaching Robots to be Agile

Abstract: This talk will provide an overview of techniques developed in my group to enable robots to react rapidly in the face of changes in the environment when manipulating objects. Learning is guided by observing humans’ exquisite manipulatory skills. I will stress how important it is to model the various ways with which humans perform the same task. This multiplicity of solutions is the key to generate robust and flexible robotic controllers capable of adapting their strategies in the face of unexpected changes in the environment. I will review methods we have developed to allow instantaneous reactions to perturbation, mimicking humans’ immediate response in the presence of danger. I will present applications of these methods for compliant control during human-robot collaborative tasks and for performing sports, such as when playing golf with moving targets. The talk will conclude with examples in which robots achieve super-human capabilities for catching fast moving objects with a dexterity that exceeds that displayed by human beings.

Biography:Professor Aude Billard is head of the Learning Algorithms and Systems Laboratory (LASA) at the School of Engineering at the EPFL. She received a M.Sc. in Physics from EPFL (1995), a MSc. in Knowledge-based Systems (1996) and a Ph.D. in Artificial Intelligence (1998) from the University of Edinburgh. She was the recipient of the Intel Corporation Teaching award, the Swiss National Science Foundation career award in 2002, the Outstanding Young Person in Science and Innovation from the Swiss Chamber of Commerce and the IEEE-RAS Best Reviewer Award. Her research on human-robot interaction and robot learning from human demonstration was featured in numerous premier venues (BBC, IEEE Spectrum, Wired) and received numerous best paper awards at major robotics conferences, among which ICRA, IROS and ROMAN, as well as the 2015 King-Sun Fu Memorial Award for the best 2014 IEEE Transaction in Robotics paper.

All are welcome and attendance is free. To attend this event, please register via https://www.eventbrite.co.uk/e/teaching-robots-to-be-agile-distinguished-lecture-from-prof-aude-billiard-tickets-24399584815

---------
The Faculty of Natural & Mathematical Sciences at King’s College London has a Code of Conduct, which we expect participants at our events to abide by. This is intended to ensure an inclusive and productive environment and can be read here: http://www.kcl.ac.uk/nms/events-code-of-conduct.aspx


Speaker(s):

Professor Aude Billard | talks | www

 

Date and Time:

25 April 2016 at 6:30 pm

Duration:

1 hour 30 minutes

 

Venue:

Department of Informatics, King's College London
King's College London
Strand
London
WC2R 2LS
02078482694
http://www.kcl.ac.uk/nms/depts/informatics/index.aspx

More at Department of Informatics, King's College London...

 

Tickets:

free

Available from:

To attend please register for this event at https://www.eventbrite.co.uk/e/teaching-robots-to-be-agile-distinguished-lecture-from-prof-aude-billiard-tickets-24399584815

Register to tell a friend about this lecture.

Comments

If you would like to comment about this lecture, please register here.



 

Any ad revenue is entirely reinvested into the Lecture List's operating fund