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Shuaixing Chen

I'm a research assistant at Shanghai Qi Zhi Institute, advised by Macheng Shen, focusing on video robot learning. I received my Bachelor degree from Shanghai Jiao Tong University, School of Electrical Engineering.

Previously, I was a research intern at EmPRISE Lab, Cornell University, advised by Tapomayukh Bhattacharjee, focusing on robot simulation, multi-agent robot collaboration powered by diffusion, LLM and MPC.
Before that, I was a research intern advised by Dequan Wang, focusing on LLM-powered multi-agent systems for robot collaboration and autonomous driving.

Publications
* indicates equal contribution | highlighted publications are selected

CART-MPC: Coordinating Assistive Devices for Robot-Assisted Transferring with Multi-Agent MPCCART-MPC: Coordinating Assistive Devices for Robot-Assisted Transferring with Multi-Agent MPC static
CART-MPC: Coordinating Assistive Devices for Robot-Assisted Transferring with Multi-Agent MPC

Ruolin Ye*, Shuaixing Chen*, Yunting Yan*, Joyce Yang, Christina Ge, Jose A. Barreiros, Kate Tsui, Tom Silver, Tapomayukh Bhattacharjee

HRI 2025
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RCareGen: An Interface for Scene and Task Generation in Robotics SimulationRCareGen: An Interface for Scene and Task Generation in Robotics Simulation static
RCareGen: An Interface for Scene and Task Generation in Robotics Simulation

Shuaixing Chen, Ruolin Ye, Saurabh Dingwani, Pooyan Fazli, Hasti Seifi, Tapomayukh Bhattacharjee

HRI 2025 Late Breaking Reports
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LLM-Raft: Enhancing Urban Traffic Efficiency and Safety through Decentralized Coordination of Autonomous VehiclesLLM-Raft: Enhancing Urban Traffic Efficiency and Safety through Decentralized Coordination of Autonomous Vehicles static
LLM-Raft: Enhancing Urban Traffic Efficiency and Safety through Decentralized Coordination of Autonomous Vehicles

Lingfeng Zhou*, Shuaixing Chen*, Jin Gao, Dequan Wang

NeurIPS 2025 Workshop on UrbanAIpaper/
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PhyRC: Physical Robotic Caregiving ChallengePhyRC: Physical Robotic Caregiving Challenge static
PhyRC: Physical Robotic Caregiving Challenge

Ruolin Ye, Tom Silver, Shuaixing Chen, Justin Guo, Liren Jin, Yunting Yan, Donghyun Kim, Jose A. Barreiros, Kate Tsui, Tapomayukh Bhattacharjee

ICRA 2025 Competitionpaper/

Education

Shanghai Jiao Tong University2021 – 2025

Electrical Engineering

Experience

Shanghai Qi Zhi Institute03 / 2025 – Present

Macheng Shen

Research Assistant

  • Focusing on video robot learning and embodied AI
  • Developing intelligent systems that integrate robot action policies with generative AI capabilities
  • Investigating generalizable representations and high-quality training data generation
EmPRISE Lab, Cornell07 / 2024 – 12 / 2024

Tapomayukh Bhattacharjee

Research Intern

  • Developing intelligent assistive robots framework powered by MPC and diffusion policy
  • Enabling natural human-robot interaction for transferring task
  • Advancing collaborative capabilities between assistive robots
Dequan Wang's Group, SJTU09 / 2023 – 06 / 2024

Dequan Wang

Research Intern

  • Developing LLM-powered vehicle coordination frameworks for autonomous driving and intelligent transportation scenarios, focusing on multi-agent consensus and traffic optimization
  • Developing LLM-powered collaborative frameworks for multi-robot systems, enabling intelligent task coordination and distributed decision-making

Research

Scene and Task Generation Interface for Rob SimulationScene and Task Generation Interface for Rob Simulation animation
Scene and Task Generation Interface for Rob Simulation

Tapomayukh Bhattacharjee

11 / 2024 – 12 / 2024
  • Developed an interface system for robotic caregiving scene generation, supporting diverse care task configurations and scene layouts
  • Integrated an LLM-based task description generator for automatic generation of detailed care task descriptions and scene requirements
  • Implemented a scene editor functionality supporting interactive object placement, obstacle addition, and environment parameter customization
  • Enabled export of standardized scene description files for direct use in robot simulation environments and algorithm evaluation
Coordinating Assistive Transferring with Multi-Agent MPCCoordinating Assistive Transferring with Multi-Agent MPC animation
Coordinating Assistive Transferring with Multi-Agent MPC

Tapomayukh Bhattacharjee

08 / 2024 – 10 / 2024
  • Proposed a real-time scene-aware multi-agent MPC architecture for autonomous systems
  • Developed a transferable MPC framework for multi-robot collaboration
  • Developed an intelligent collaborative framework for assistive transfer tasks by integrating Kinova 6-DOF robotic arm, Hoyer sling, and powered wheelchair systems
LLM-Powered Vehicle Coordination for Autonomous DrivingLLM-Powered Vehicle Coordination for Autonomous Driving animation
LLM-Powered Vehicle Coordination for Autonomous Driving

Dequan Wang

09 / 2023 – 06 / 2024
  • Developed LLM-powered decentralized coordination framework for autonomous vehicles in urban traffic scenarios
  • Implemented multi-agent consensus mechanisms for traffic efficiency and safety optimization
  • Designed and evaluated coordination protocols for intersection management and lane merging
  • Conducted extensive simulations demonstrating improved traffic flow and reduced collision rates

Outreach

Workshop

<b>Physical Robotic Caregiving Challenge (PhyRC)</b><b>Physical Robotic Caregiving Challenge (PhyRC)</b> animation
Physical Robotic Caregiving Challenge (PhyRC)2024
  • Developed comprehensive simulation frameworks for robot assistive dressing and bathing tasks using RCareWorld platform
  • Established complete robot control algorithm evaluation system with automated assessment pipeline via EvalAI integration
  • Hosted regular office hours and created comprehensive documentation for 56 registered teams

Reviewer

ACM/IEEE International Conference on Human-Robot Interaction (HRI)2025, 2026