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From picking up a cube to writing with a pen – learning dexterous manipulation skills on real-world robotic systems

From picking up a cube to writing with a pen – learning dexterous manipulation skills on real-world robotic systems

MPI-IS in Tübingen is hosting a challenge that aims to advance the state of the art in robotic manipulation and make the field more accessible to a greater number of researchers

From August 3, researchers around the world are invited to take part in a challenge where each team can run its algorithm on standardized robotic platforms. The tasks range from manipulating a cube to writing with a pen. Participants can advance research, demonstrate that their algorithm works best not only in simulation but also on a real-world task, and win prizes.


robot challenge robotic machine learning deep learning reinforcement learning Bernhard Schölkopf Stefan Bauer

People

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Stefan Bauer
Forschungsgruppenleiter
ei Manuel Wüthrich
Manuel Wüthrich
Postdoctoral Researcher
ei Bernhard Schölkopf
ei Felix Widmaier
Felix Widmaier
Research Engineer
sg Linda Behringer
Linda Behringer
Public Relations Officer
ei Vaibhav Agrawal
Vaibhav Agrawal
Research Scientist
ei Ossama Ahmed
Ossama Ahmed
Master's Thesis Student
ei Annika Buchholz
Annika Buchholz
Forschungskoordinator
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sf Jonathan Fiene
Jonathan Fiene
ZWE Robotics Leader
sf Walter Gasparetto
Walter Gasparetto
Research Scientist
Anirudh Goyal
Anirudh Goyal
Doktorand/in
am Felix Grimminger
Felix Grimminger
Mechatronics Engineer
sf Felix Grüninger
Felix Grüninger
Research Engineer
mg Bilal Hammoud
Bilal Hammoud
PhD. Student
ei Shruti Joshi
Shruti Joshi
Research Intern/Software Programmer
al Georg Martius
Georg Martius
Max Planck Research Group Leader
Heiko Ott
Heiko Ott
Mechatronics Workshop
mg Ludovic Righetti
Ludovic Righetti
Max-Planck-Forschungsgruppenleiter
ei it sg Sebastian Stark
Sebastian Stark
IT Staff
sf Naomi Tashiro
Naomi Tashiro
Research Technician
ei Frederik Träuble
Frederik Träuble
Doktorand/in
sf Ruben Werbke
Ruben Werbke
Research Technician