guoyork's Stars
kanakkabara/Collision-Avoidance
Collision Avoidance with Reinforcement Learning
yuecideng/Ur5_DRL
This is a project about robotic manipulation motion planning using deep reinforcement learning based on ROS and Gazebo simulation
kanakkabara/Autonomous-Drifting
Autonomous Drifting using Reinforcement Learning
Gireeshsuresh/Autonomous-Parking-System
Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to perform parallel parking. The automatic parking system aims to enhance the comfort and safety of driving in constrained environments where much attention and experience is required to steer the car. The parking maneuver is achieved by means of coordinated control of the steering angle and speed which considers the actual situation i.e., the free spaces and the obstacle spaces in the environment to ensure collision-free motion within the available space. The path shape required for a parking maneuver is evaluated from the environmental model, generating a fifth-order polynomial, the corresponding control commands are selected and parameterized to provide motion within the available space. In real-time application, the commands are executed by the car servo-systems which drive the vehicle into the parking place.