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optimal-control

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University group project concerning the use of an optimal motion planning algorithm to move a mobile that is assigned a navigation task. The optimal motion planning algorithm chosen is the anytime motion planning based on the RRT*, which is a sampling-based algorithm with an asymptotic optimality property. The simulation environment is V-rep.

  • Updated Nov 22, 2020
  • C++

This repository contains Dongming Shen's code and documentation for the research projects conducted at the AIDyS Lab, USC. The project focuses on integrating Reinforcement Learning (RL) to solve partially observable Markov decision processes (POMDP) under finite linear temporal logic (LTL) constraints.

  • Updated May 24, 2024
  • C++

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