[Meetings] CoRL 2023 -- Workshop on Robot Learning in Athletics (RoboLetics)
by Zaidi, Zulfiqar Haider
Please see the Call for Workshop Papers and Demonstrations below!
Full-Day Workshop on Nov 06 at CoRL 2023
RoboLetics (Workshop on Robot Learning in Athletics)
* Submission deadline: 1st October, 2023 (Anywhere on Earth)
* Author notification: 22nd October, 2023
* Workshop date: 6th November, 2023
The workshop aims to explore the latest innovations and challenges in developing agile robotic systems with athletic behaviors, with a specific focus on leveraging learning techniques. Sports provide an ideal testbed for advancing robotic technology due to their demanding requirements of agility, autonomy, and precision. By addressing the unique challenges posed by sports applications, such as real-time control, dynamic adaptation, and intelligent game strategies, we can push the boundaries of robotic performance. The workshop will cover a wide range of vital topics including enhancing athletic behaviors through learning, improving real-time control in dynamic environments, overcoming challenges in deploying real-time machine learning systems, developing intelligent game strategies, and fostering interdisciplinary collaborations. By incorporating video demonstrations and various presentation formats, the workshop aims to facilitate knowledge exchange, inspire collaboration, and drive advancements in the integration of learning techniques in athletic robotics. The workshop is designed to engage a diverse audience from robotics, machine learning, sports science, and related disciplines, fostering interdisciplinary discussions and unlocking new possibilities for athletic and intelligent robotic systems.
Call for Papers and Video Demonstrations
We invite researchers to submit their contributions to the workshop in the form of short papers (2 pages) accompanied by video demonstrations or standalone papers (4 pages). These submissions should align with the workshop's topics of interest and will serve as a basis for initiating discussions during the event. Accepted papers will be presented as posters, presentations, and videos, and with the authors' permission, they will be published on the workshop website.
Topics of Interest include:
* Systems design enabling the learning of athletic behaviors in robots
* Learning-based real-time controllers and planners for athletic movements
* Safety frameworks for athletic robots
* Sensing and state estimation under time and compute constraints with incomplete and imperfect knowledge of the world
* Communication systems for robotic team sports
* Synthesizing strategies for sports-playing robots
* Human-robot collaboration for athletic and agile robots
We encourage submissions that demonstrate and benchmark their approaches on sports-related applications such as table tennis, tennis, soccer, air hockey, and others.
Our workshop is privileged to host an exceptional lineup of speakers and panelists representing academia, industry, and athletics. Confirmed speakers include:
* Jan Peters (TU Darmstadt)
* Scott Kuindersma (Boston Dynamics)
* Tuomas Haarnoja (Google Deepmind)
* Soon Jo-Chung (Caltech, NASA JPL)
* Koushil Sreenath (UC Berkeley)
* Cassie Mitchel (Georgia Tech)
* Davide Scaramuzza (ETH Zurich)
* Laura Graesser (Google Robotics)
* David D'Ambrosio (Google Robotics)
Their expertise and contributions promise to make the workshop a truly enriching and insightful experience for all participants.
The workshop will run in-person attendants and presenters. The accepted papers and demonstrations will be used to initiate discussion on the topics during the workshop and will be presented as both posters and presentations. Papers and video demonstrations will be published on the Workshop website with the authors’ permission.
Authors can submit demo papers of 2 pages accompanied with videos or 4 pages standalone contributions. All papers must be submitted in PDF and must follow the CoRL format. Templates are available here<https://drive.google.com/file/d/1Ksqw_9OMiCKEiGmoaqn3QCuqcRpgtZ5a/view>. All papers will be peer-reviewed (double-blind). Both unpublished original contributions and previously published work may be submitted.
All submissions will be made electronically through the Openreview conference system following this link: https://openreview.net/group?id=robot-learning.org/CoRL/2023/Workshop/RoboL…
* Matthew Gombolay, Georgia Institute of Technology
* Alessandra Rossi, University of Naples Federico II
* Rohan Paleja, Georgia Institute of Technology
* Zulfiqar Zaidi, Georgia Institute of Technology
* Georgios Angelopoulos, University of Naples Federico II
* Kin Man Lee, Georgia Institute of Technology
All questions about submissions should be emailed to any of the following people:
* Zulfiqar Haider Zaidi (email: zzaidi8(a)gatech.edu<mailto:email@example.com>)
* Rohan Paleja (email: rpaleja3(a)gatech.edu<mailto:firstname.lastname@example.org>)
Robotics Ph.D. Student
Georgia Institute of Technology