Our Research

Robotics

Hierarchical Learning from Demonstration for Assembly
A Hierachical method to learn assembly with robots leveraging demonstrations.
Collaborative DMP for Dual Arm
A novel method leveraging RL and DMP to enhance multi-robot collaboration.
Online Adaptive Motion Planning with Skill-Learning
A Hierachical method to generate adaptive motion plan when using a RL based skill

Manufacturing Systems

Modeling of Robot-Enabled Manufacturing Systems
Modeling and Control of Robot-Enabled Manufacturing Systems
From Nash Q-learning to nash-MADDPG Advancements in multiagent control for multiproduct flexible manufacturing systems
An integrated multiagent RL and game theory approach for complex manufacturing systems
Energy-efficient and quality-focused control of conveyor belt dryers in petrochemical production
Modelling and control of industrial conveyor belt dryers
Simultaneous Production Control, Preventive Maintenance and Tool Change.
Integrated modeling_analysis and control of robot-enabled FMS with preventive maintenance and product quality considerations
Scaling Multi-Agent Reinforcement Learning for Multi-Stage Manufacturing Systems
A MARL Framework for Scalable Manufacturing System Control.
Integrated Energy Optimization in Manufacturing Through Multiagent Deep Reinforcement Learning Holistic Control of Manufacturing, Microgrid Systems, and Battery Storage
Integrated microgrid and manufacturing system with battery degradation control

Manufacturing Systems

Explore our research by domain: