Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

Trajectory Planner in Multi-Agent and Dynamic Environments

Trajectory Planner in Multi-Agent and Dynamic Environments

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar.

Detection and Tracking of Moving Objects (DATMO) using sensor_msgs/Lidar.

Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance

Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance

Open-source Autonomy Software in Rust-lang using gRPC for the Roomba series robot vacuum cleaners. Under development.

Open-source Autonomy Software in Rust-lang using gRPC for the Roomba series robot vacuum cleaners. Under development.

Perception-Aware Trajectory Planner in Dynamic Environments

Perception-Aware Trajectory Planner in Dynamic Environments

A* Search Algorithm with an Additional Time Dimension to Deal with Dynamic Obstacles

A* Search Algorithm with an Additional Time Dimension to Deal with Dynamic Obstacles

Deep Reinforcement Learning for mobile robot navigation in IR-SIM simulation. Using DRL (SAC, TD3, PPO, DDPG) neural networks, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

Nullspace MPC: A novel multi-objective control framework for explicitly handling task priorities, implemented in ROS Noetic for a Swerve Drive Robot.

Nullspace MPC: A novel multi-objective control framework for explicitly handling task priorities, implemented in ROS Noetic for a Swerve Drive Robot.

A toolkit for testing control and planning algorithm for car racing.