[robotics-worldwide] [meetings] RSS 2017 Workshop on Challenged in Dynamic Legged Locomotion - 2nd Call for Contributions

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[robotics-worldwide] [meetings] RSS 2017 Workshop on Challenged in Dynamic Legged Locomotion - 2nd Call for Contributions

Michael Posa
Challenges in Dynamic Legged Locomotion
Robotics, Science and Systems Workshop
Boston, MA. July 15, 2017

We are pleased to invite contributions to the RSS 2017 Workshop on
Challenged in Dynamic Legged Locomotion. This workshop will bring together
researchers working on a span of topics at the frontier of legged robotics
research relating to design, modeling, estimation, and control.

Participants are requested to submit a one-page abstract in RSS two-column
format. We encourage the submission of early ideas, late-breaking results,
or open research questions that are likely to generate interesting
discussions. Authors of accepted abstracts will be asked to present posters
during designated breaks throughout the day. Please submit abstracts (in
PDF format) via email to:  Michael Posa ([hidden email]).

Workshop website: https://urldefense.proofpoint.com/v2/url?u=https-3A__leggedrobotlocomotion.wordpress.com_&d=DwIBaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=J08_PgQIHX-5XjwodJ1KBpvtk-PJ6kQQFl-b9Lo1G3U&s=4hPW1lIF7pv0ms22tM459pZ4UpM00sbW7b4d4OyfYpI&e= 

Overview:
The performance of modern legged robots still pales in comparison to their
biological counterparts in terms of speed, robustness, versatility, and
efficiency. The technical challenges that fuel this gap touch on topics
ranging from actuator design to contact modeling and hybrid optimal
control. This workshop aims to bring together researchers working on a span
of topics at the frontier of legged robotics research relating to design,
modeling, estimation, and control.

The dynamic properties of legged locomotion (i.e. nonlinear, underactuated,
and hybrid) pose significant theoretical, computational, and physical
challenges. Traditional approaches to tackling this dynamic complexity have
used a combination of model simplification and factoring of planning,
estimation, and control into a sequence of computationally-expedient
sub-problems. By ignoring aspects of the robot dynamics and/or removing the
ability to reason about feedback during planning, these simplifications
degrade performance. However, we still lack a detailed understanding as to
what dynamic complexity/computation trade-off is necessary to achieve a
given behavior specification, and how these choices are affected by robot
design.

Invited speakers:
Aaron D. Ames - California Institute of Technology
Christopher Atkeson - Carnegie Mellon University
Katie Byl - University of California Santa Barbara
Jonathan Hurst - Oregon State University
Marco Hutter - Swiss Federal Institute of Technology
Sangbae Kim - Massachusetts Institute of Technology
Marc Raibert - Boston Dynamics
David Remy - University of Michigan
Russ Tedrake - Massachusetts Institute of Technology

Important Dates:
Abstract Submission : May 30 , 2017
Acceptance Notification : June 15, 2017
DLMC Workshop : July 15, 2017

Kind regards,

The organizing committee:
Diego Pardo (ETH), Michael Posa (MIT), Scott Kuindersma (Harvard)
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