Towards Collaborative Partners: Design, Shared Control, and Robot Learning for Physical Human-Robot Interaction

ICRA 2024 Workshop

13 May 2024,  9:00 AM - 5:00 PM

Conference Center, Room 411-412

http://ieee-icra.org/

description

As robots increasingly become part of our daily lives, the key challenge is to ensure that they are safe, responsive, and constantly improving while physically interacting with us on the short or the long term. To address this, our workshop discusses three main questions. First, how can we harness innovations in robot design to make robots inherently safe for physical human-robot interaction (pHRI)? This involves the exploration of technologies like soft robotics and haptics to ensure security and comfort in close human contact. Second, how can robots instantly and appropriately react during real-time human interactions? This can be achieved by integrating shared control strategies to make robots adjust their actions to ensure seamless collaboration. Third, how can robots learn from every interaction to be better partners and earn our trust? This encompasses robot learning algorithms and considers how human modeling and feedback can improve these robot partners over time.


The main objectives of this workshop are:

1) To investigate how each of these areas contributes to the improvement of pHRI.

2) To discuss strategies that effectively combine these approaches for a holistic progress in the field.

speakers


Assistant ProfessorCase Western Reserve University 

Title: Designing an interactive hugging robot for social-physical human-robot interaction


ProfessorStanford University 

Title: Distributed stiffness wearable haptic displays for physical human-robot interaction


Permanent ResearcherAIST 

Title: Staying in Touch: Controlling Human-Robot Interactions with Sustained Contact


Assistant ProfessorUniversity of Nottingham

Title: Learning to Assist: Variable Autonomy in Human-Robot Collaborative Work


Assistant ProfessorTU Delft

Title: Design of control methods and interfaces for mutual adaptation in human-robot co-manipulation


ProfessorMonash University

Title: Learning for Human-Robot Interaction: The Role of Simulations


Assistant ProfessorNational University of Singapore

Title: Generating Safe Trajectories with Diffusion Models

 contributions

Accepted Posters:

 Poster Session 1


Poster Session 2

important dates

schedule

9:00 AM Welcoming Remarks

9:15 AM Dana Kulić

9:45 AM Allison Okamura

10:15 AM Coffee Break: Poster Session 1

11:15 AM Mehdi Benallegue

11:45 AM Harold Soh

12:15 PM Alexis Block

12:45 PM Lunch

2:00 PM Round Table

3:00 PM Coffee Break: Poster Session 2

4:00 PM Luka Peternel

4:30 PM Ayse Kucukyilmaz

5:00 PM Closing Remarks

organizers


Assistant ProfessorUniversity of Waterloo


Assistant ProfessorVirginia Tech


ProfessorKarlsruhe Institute of Technology


ProfessorThe University of Tokyo

student organizers


PhD StudentUniversity of Waterloo

contact

If you have any questions about this workshop, please contact:

Hisham Khalil (hisham.khalil@uwaterloo.ca)

support