2 citations · 3 across the 5 of their papers we have counts for
6 papers
Learning to Plan in Human-Robot Collaboration: Multimodal Reinforcement Learning for Adaptive Interaction
Afagh Mehri Shervedani, Siyu Li, Natawut Monaikul +3
Robot assistants for older adults and people with disabilities need to perform collaborative tasks with users effectively. The core component of these systems is an interaction man…
BrickSim: A Physics-Based Simulator for Manipulating Interlocking Brick Assemblies
Haowei Wen, Ruixuan Liu, Weiyi Piao +2
Interlocking brick assemblies provide a standardized yet challenging testbed for contact-rich and long-horizon robotic manipulation, but existing rigid-body simulators do not faith…
Group-Control Motion Planning Framework for Microrobot Swarms in a Global Field
Siyu Li, Afagh Mehri Shervedani, Miloš Žefran +1
This paper investigates how a novel paradigm called group-control can be effectively used for motion planning for microrobot swarms in a global field. We prove that Small-Time Loca…
Proactive Robot Control for Collaborative Manipulation Using Human Intent
Zhanibek Rysbek, Siyu Li, Afagh Mehri Shervedani +1
Collaborative manipulation task often requires negotiation using explicit or implicit communication. An important example is determining where to move when the goal destination is…
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…
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…