Underwater Reinforcement Learning, for the motion control of vehicles in complex aquatic environments.

Underwater reinforcement learning research, for the motion control of vehicles in complex aquatic environments.

Current frameActively in progress
Related publications01

Note

“Chase the sea, and become the sea.”

Research threads

  • Simulation-to-Hardware platforms construction
  • Pool-world global positioning system
  • RL, IRL topics research
  • Multiagent collaboration and control

Working modes

  • AI Agent for system designing
  • ROS 2 and real world system interaction
  • Robotics deployment

Active projects

Current projects and experimental threads.

FinsSim: A Reality-Aligned Integrated Simulation Platform for Underwater Robot Learning

A Sim-to-Real platform connecting high-fidelity simulation, learning workflows, and hardware deployment

MARL collaboration

Multiagent collaboration project

IRL for underwater control

DPPO and IRL