Call for Papers - ICRA workshop "RL for Contact-Rich Manipulation"

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Hui Li

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Jan 18, 2022, 1:32:42 PM1/18/22
to Women in Machine Learning

Call for Papers:

ICRA workshop on "RL for Contact-Rich Manipulation", May 23-27, 2022

https://sites.google.com/view/icra2022-contactrich/home

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Important Details:

  • Submission deadline: April 22, 2022 (AoE)
  • Paper format: IEEE RAS format
  • Recommended length: maximum 4 pages excluding references
  • Notification of acceptance: May 13, 2022

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 Overview & Topics:

Contact-rich manipulation tasks are an important and challenging category of tasks in robotic automation for a variety of applications. Physical contact is prevalent in object insertion and assembly. For tasks involving complex contact dynamics and friction, it is difficult to model related physical effects, and hence, traditional control methods often result in inaccurate or brittle controllers. Lately, reinforcement learning (RL) has been demonstrated to be a promising approach to learning robot control policies in such environments. However, RL still faces many challenges in contact-rich environments, such as in sample efficiency, sim2real transfer, safety and stability, and reward shaping. 


The objective of the workshop is to focus on addressing the challenges specifically involved in contact-rich environments and gather researchers in this area to share ideas and state-of-the-art solutions.    


We invite submissions from a broad range of topics, including but not limited to:

  • Imitation learning 
  • Learning from CAD
  • Multimodal representations
  • Reward learning
  • Safety and stability guarantees
  • Sample efficiency
  • Sim2real transfer
  • Tactile representation
  • Task sequence learning

Accepted contributions will be presented as lightning talks and posters. The two best contributions will be presented as spotlight talks.              

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Invited Speakers:

  • Aude Billard (EPFL, Switzerland)
  • Jeannette Bohg (Stanford, US)
  • Kensuke Harada (Osaka U., Japan)
  • Ludovic Righetti (NYU, US)
  • Sergey Levine (UC Berkely, US)
  • Shahbaz Abdul Khader (KTH, Sweden)

 


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