[robotics-worldwide] [meetings] CfP: ICRA Workshop on Learning Legged Locomotion

Ken Caluwaerts kencaluwaerts at google.com
Wed Feb 20 11:26:17 PST 2019


Dear all,

We are organizing a full day workshop on Learning Legged Locomotion at ICRA
2019 in Montreal: https://urldefense.proofpoint.com/v2/url?u=https-3A__sites.google.com_view_learning-2Dlegged-2Dlocomotion_&d=DwIBaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=rkRAmRuXvgTZTU_jb3bWwFt3vEtxdanhhZjZtnMkRMg&s=HSJCQDelQhLn2vXKT1tF0ArsDAHKQWx7jItqTT4p_Uc&e=
 .
The workshop will take place on May 23rd or 24th (final schedule to be
announced soon).

- Call for posters:
Please consider contributing by submitting an extended abstract (1-2
pages). Accepted abstracts will be invited to present a poster during the
workshop. We encourage submission of work in progress, experimental
hardware results, and "lessons learned" to benefit the community.
Deadline for submission: March 29th 2019. Author notification: April 26th
2019.

- Scope:
Legged robots are notoriously difficult to control. Recent progress in
machine learning has shown promises to design robust and agile locomotion
controllers automatically.
However, most of these learning-based methods are limited to simulation or
to simple hardware platforms. Many challenges remain in bringing these
learning-based control approaches to real legged robots, including the
reality gap, safe exploration, continuous data collection, data-efficient
learning algorithms, experimental evaluation, and hardware robustness.
This workshop brings together experts in the fields of legged robotics and
machine learning/reinforcement learning to discuss the state-of-the-art and
challenges in learning-based control of legged robots.

- Topics of interest:
Learning based control for legged locomotion: reinforcement learning,
evolutionary strategies, model based learning, learning in simulation,
on-robot learning, perception for unstructured terrain locomotion,
sim-to-real transfer, hardware platforms for learning, benchmarks, state
estimation.

- Invited speakers:
Aaron Ames (Caltech)
Akshara Rai (CMU)
Arun Ahuja (Deepmind)
Erwin Coumans (Robotics at Google)
Jemin Hwangbo (ETH Zurich)
Michiel van de Panne (UBC)
Sangbae Kim (MIT)
Shishir Kolathaya & Abhik Singla (IISc, Bangalore)
Stuart Anderson (NVIDIA)

- Organizing committee:
Ken Caluwaerts, Atil Iscen, Jie Tan, Tingnan Zhang - Robotics at Google
Karen Liu - Georgia Tech
Ludovic Righetti - NYU
Jonathan W. Hurst - OSU/Agility Robotics

The organizers can be reached at learningleggedlocomotion at gmail.com.

Best regards,
Ken, Atil, Jie, Tingnan, Karen, Ludovic & Jonathan


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