Collision Avoidance
Showing 5 of 5 projects
An open-source motion planning framework for robotic manipulation, enabling commercial applications, prototyping, and algorithm benchmarking.
A deep reinforcement learning framework for crowd-aware robot navigation using attention mechanisms to model human-robot and human-human interactions.
ROS package implementing a deep reinforcement learning algorithm for dynamic obstacle avoidance in ground robots.
A steering behaviors library for Babylon.js to move entities in 3D space with realistic movement patterns.
A ROS2 component that calculates velocity information for tracked objects to enhance robot motion planning and collision avoidance.
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