Projects
Data Science Projects:
Extracurricur Projects:
COVEMAS
COVEMAS - Control and Optimization for Event-triggered Networked Autonomous Multi-Agent Systems - is a joint Sino-German research project COVEMAS,
founded from DFG and NSFC, aims at reducing the energy cost of such cooperating multi-agent systems.
Many tasks for modern robotic systems require the coordination of multiple interacting agents.
Typically distributed coordination algorithms for multi-agent systems assume continuous-time agent dynamics, sensing and actuation.
Typical applications include - amongst others - search and rescue, surveillance coverage and environmental monitoring. Read and view more.
Doctoral Researcher
- Designed novel cooperative learning algorithms for centralized and distributed systems
- Delivered the learning-based control protocols for the coordination of multiple interacting agents
- Developed mode-free distributed MPC and shared distributed MPC control laws
Agents track a deisred trajectory (red) without learning (right) and with cooperative learning (left):
