View Full Version : Learning Algorithms and Systems Laboratory, EPFL, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
Airicist
29th June 2015, 21:51
Website - nccr-robotics.ch/nccr-labs/learning-algorithms-and-systems-laboratory-lasa (https://nccr-robotics.ch/nccr-labs/learning-algorithms-and-systems-laboratory-lasa)
Full Professor - Aude Billard (https://pr.ai/showthread.php?11686)
Airicist
29th June 2015, 22:31
https://youtu.be/M413lLWvrbI
Ultra-fast, the robotic arm catches objects on the fly
Published on May 12, 2014
A robot developed by EPFL researchers is capable of reacting on the spot and grasping objects with complex shapes and trajectories in less than five hundredths of a second.
Airicist
29th June 2015, 22:34
https://youtu.be/rB0WxE-mhRE
robot catching
Published on Jun 29, 2015
Airicist
29th June 2015, 22:36
https://youtu.be/RJItkj7eih4
Turning pages
Published on Jun 29, 2015
Airicist
29th June 2015, 22:37
https://youtu.be/8IWFWJYHBtg
Published on Jun 29, 2015
Mini golf
Airicist
30th June 2015, 05:36
https://youtu.be/w2-JPKAQux4
Catching falling objects
Published on Jun 29, 2015
Airicist
30th June 2015, 05:37
https://youtu.be/phmxtTZKjPE
Learning to play ping-pong with Robota
Published on Jun 29, 2015
Airicist
18th December 2019, 11:37
https://youtu.be/YzddAsGUJ84
Shared human–robot proportional control of a dexterous myoelectric prosthesis
Dec 10, 2019
Presenting our research on shared control algorithm for prosthetic hands. The novelty of the approach lies in it's ability to improve grasp around the object using information from pressure sensors integrated with the hand. The algorithm allows the subject to control robotic hand's fingers through muscle signals (EMG) decoding and in addition improves the grasp on the object whenever a contact is detected. Please find the accompanying paper published in Nature Machine Intelligence in the link here (https://www.nature.com/articles/s42256-019-0093-5)