Trajectory Planner in Multi-Agent and Dynamic Environments
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Updated
Dec 7, 2022 - C++
Trajectory Planner in Multi-Agent and Dynamic Environments
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.
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.
Open-source Autonomy Software in Rust-lang using gRPC for the Roomba series robot vacuum cleaners. Under development.
Multi-Purpose MPC for Reference Path Tracking, Time-Optimal Driving and Obstacle Avoidance
Perception-Aware Trajectory Planner in Dynamic Environments
A* Search Algorithm with an Additional Time Dimension to Deal with Dynamic Obstacles
A toolkit for testing control and planning algorithm for car racing.
Implementation of the D* lite algorithm in Python for "Improved Fast Replanning for Robot Navigation in Unknown Terrain"
Several controllers to move Ridgeback mobile-robot and UR5 robotic-arm.
ROS workspace that creates a trajectory for a UAV to follow passing through a set of given waypoints and avoiding a set of given cylindrical obstacles.
A goal-driven autonomous exploration through deep reinforcement learning (ICRA 2022) system that combines reactive and planned robot navigation in unknown environments
Obstacle avoidance using RGBD Camera and PX4-Autopilot firmware.
Spherical Vector-based Particle Swarm Optimization
Deep Reinforcement Learning for Fixed-Wing Flight Control with Deep Q-Network
Decentralized Multiagent Trajectory Planner Robust to Communication Delay
LIDAR based Obstacle Avoidance with Reinforcement Learning
🤖 A motion planning MATLAB & V-rep implementation for the KUKA LBR iiwa robotic arm, performing null-space reconfiguration for obstacle avoidance.
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