Aiming at the problem of path planning for autonomous underwater vehicle (AUV) to cope
with the influence of obstacles and eddies in complex marine environments, a path planning …

Recently, the rapid advancement of Multi-Agent Reinforcement Learning (MARL) has
introduced a new paradigm for intelligent underwater target tracking within Autonomous …

This paper simultaneously addresses the problems of informative cooperative path planning
and time-varying formation control for heterogenous multi-robot systems with distance …

Humans often learn new skills by imitating the experts and gradually developing their
proficiency. In this work, we introduce Stochastic Trajectory Optimization for Demonstration …

This paper studies a path following problem of autonomous underwater vehicle (AUV) in
complex and harsh working environment. Firstly, a kinematic model of an AUV in the vertical …