IEEE International Workshop at ICRA 2021
Workshop Date: May 30 or June 5, 2021
Paper Submission Deadline: April 1, 2020
Notification of Acceptance: April 10, 2020
Camera-Ready Deadline: April 20, 2020
Call for Contribution
We welcome submissions across the domains of machine learning, robotic caregiving, human-robot interaction, haptics, biomechanics, perception, simulation, and human assistance. As we aim to encourage meaningful discussion across these fields, work that is unpublished, recently published or under review can be accepted for presentation depending on the novelty, significance, and contributions to the workshop.
We solicit contributions in the form of extended abstracts (min 2 pages, max 4 pages) in IEEE paper format (author information available here), to be presented at the workshop as posters with accompanying spotlight talks. Award certificates for the Best Workshop Poster and Best Workshop Presentation will be given to outstanding contributions.
Robotic caregivers could increase the independence of people with disabilities, improve quality of life, and help address growing societal needs, such as shortages of healthcare workers, aging populations that require care, and high healthcare costs. Using robotic technology to assist care-recipients in their daily lives may entail physically interacting with them, adapting to their preferences, and perceiving the environment for intelligent and safe assistance. These tasks can benefit from using data-driven machine learning techniques. Through this workshop, we explore how learning can enable robotic systems towards achieving consistently efficient and safe assistance across activities of daily living.
Learning for caregiving in real homes depends on sensing and acting using real-world systems as well as metrics for success and generalization. Through a series of three correspondingly themed sessions, this workshop will provide a forum for discussion on the state-of-the-art, current challenges, and future of learning paradigms in robotic caregiving. By bringing together renowned scientists and young researchers from the machine learning and assistive robotics communities, this workshop aims to inspire cross-discipline collaborations towards solutions that can beneficially impact human society.
Topics of Interest
- Robotic caregiving / physical human assistance
- Human-robot collaboration
- Physical human-robot interaction
- Personalization and adaptation
- Haptic sensing
- Multimodal perception
- Active perception
- Human pose sensing/estimation
- Deep learning for safe human-robot interaction
- Physics simulation and benchmarking
- Generalization of learned models to real-world assistive scenarios
Prof. Pieter Abbeel (Confirmed), Robot Learning Lab, University of California, Berkeley, US.
Prof. Siddhartha Srinivasa (Confirmed), Personal Robotics Lab, University of Washington, US.
Prof. Michelle Johnson (Confirmed), Rehabilitation Robotics Lab, University Of Pennsylvania, US.
Dr. Jeremy Marvel (Confirmed), National Institute of Standards and Technology, US.
Prof. Brenna Argall (Confirmed), Assistive & Rehabilitation Robotics Lab, Northwestern University, US.
Prof. C. Karen Liu (Confirmed), The Movement Lab, Stanford University, US.
Prof. Dongheui Lee (Confirmed), Human-Centered Assistive Robotics Group, Technical University of Munich, Germany.
Prof. Henny Admoni (Confirmed), Human and Robot Partners Lab, Carnegie Mellon University, US.
Prof. Tanzeem Choudhury (Tentative), People-Aware Computing Lab, Cornell Tech, US.
Support and Endorsement
IEEE RAS technical committee on Robot Learning
IEEE RAS technical committee on Rehabilitation and Assistive Robotics
IEEE RAS technical committee on Human-Robot Interaction and Coordination
Tentative Workshop Program
|8:00 – 8:15||Welcome – Workshop opening|
|8:15 – 9:15||Opening Session – Learning for Robotic Caregivers: Perspectives from 3 Continents|
|(Session) Learning: roles, applications, and generalization for robot caregivers|
|9:15 – 9:45||Invited Speaker 1 (Dongheui Lee)|
|9:45 – 10:15||Invited Speaker 2 (Siddhartha Srinivasa)|
|10:15 – 10:45||Invited Speaker 3 (Pieter Abbeel)|
|10:45 – 11:00||Poster Spotlights|
|11:00 – 11:30||Poster Session, Demos, and Coffee Break|
|11:30 – 12:15||Panel Discussion – The role of learning and autonomy in robotic caregiving|
|12:15 – 13:45||Lunch break|
|(Session) Sensing and Acting: intelligent sensing, systems and control for robot caregivers|
|13:45 – 14:15||Invited Speaker 4 (Henny Admoni)|
|14:15 – 14:45||Invited Speaker 5 (Tanzeem Choudhury)|
|14:45 – 15:15||Invited Speaker 6 (Michelle Johnson)|
|15:15 – 15:30||Poster Spotlights|
|15:30 – 16:00||Poster Session, Demos, and Coffee Break|
|(Session) Modeling and Benchmarking: modeling and benchmarking for robot caregivers|
|16:00 – 16:30||Invited Speaker 7 (Karen Liu)|
|16:30 – 17:00||Invited Speaker 8 (Jeremy Marvel)|
|17:00 – 17:30||Invited Speaker 9 (Brenna Argall)|
|17:30 – 18:15||Panel Discussion – Grand challenges in robotic caregiving|
|18:15 – 18:30||Closing|
|18:30 –||Social Dinner (optional)|