A ROS Robotics simulator of a mobile robot to discover and map a confined environment
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Updated
Feb 14, 2022 - Python
A ROS Robotics simulator of a mobile robot to discover and map a confined environment
Robot avoids obstacles using CNN model and USB-camera
Using Python and OpenCV to implement a basic obstacle avoidance and navigation on the rover.
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ENPM 661 Project 3 Phase 2: A rigid robot traverses through a configuration space to find the goal node using A star search algorithm, while it avoid the obstacles in the map
Portable Robot Simulator to make a holonomic robot move inside a maze without hitting obstacles
9기/로봇팀 Humanoid Robot Sports 2020. Online
Neuro-Evolution (genetic algorithm + NN) for collision avoidance
A PAL Mobile Base for your advanced navigation needs
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.
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