23 citations · 31 across the 9 of their papers we have counts for
4 papers · 1 filter
Recognizing Intent in Collaborative Manipulation
Zhanibek Rysbek, Ki Hwan Oh, Milos Zefran
Collaborative manipulation is inherently multimodal, with haptic communication playing a central role. When performed by humans, it involves back-and-forth force exchanges between…
An End-to-End Human Simulator for Task-Oriented Multimodal Human-Robot Collaboration
Afagh Mehri Shervedani, Siyu Li, Natawut Monaikul +3
This paper proposes a neural network-based user simulator that can provide a multimodal interactive environment for training Reinforcement Learning (RL) agents in collaborative tas…
Robots Taking Initiative in Collaborative Object Manipulation: Lessons from Physical Human-Human Interaction
Zhanibek Rysbek, Ki Hwan Oh, Afagh Mehri Shervedani +3
Physical Human-Human Interaction (pHHI) involves the use of multiple sensory modalities. Studies of communication through spoken utterances and gestures are well established, but c…
Multimodal Reinforcement Learning for Robots Collaborating with Humans
Afagh Mehri Shervedani, Siyu Li, Natawut Monaikul +3
Robot assistants for older adults and people with disabilities need to interact with their users in collaborative tasks. The core component of these systems is an interaction manag…