Python project regarding implementation of two UAVs physics and collision detection/avoidance simulation.
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Updated
May 24, 2024 - Python
Python project regarding implementation of two UAVs physics and collision detection/avoidance simulation.
This repository includes all the necessary routines to run the CAM optimization with the method described in Pavanello et al. 2024.
SHA1 implementation with collision detection.
Demo telematics app for Flutter. The application walks you through the telematics SDK integration. The technology is suitable for UBI (Usage-based insurance), shared mobility, transportation, safe driving, tracking, family trackers, drive-coach, and other driving mobile applications
Obstacle Avoidance using Swarm Robotics
A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles in CARLA to navigate scenarios with stationary obstacles.
Reciprocal Collision Avoidance with Acceleration-Velocity Obstacles (C++)
Optimal Reciprocal Collision Avoidance (Java)
Optimal Reciprocal Collision Avoidance (C#)
Optimal Reciprocal Collision Avoidance in Three Dimensions (C++)
Optimal Reciprocal Collision Avoidance (C++)
The Hybrid Reciprocal Velocity Obstacle (C++)
A curated list of robot social navigation.
Vortex vector field for collision avoidance in drone swarm formation control
Platform for collision detection during treatment planning in radiotherapy
[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
G-NAV is a soaring computer for Linux OS, written in Ada and powered by OpenGL (ES) and either GLFW or SDL. It runs native on Raspberry Pi and similar ARM boards.
[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph -- Sim2real code on Turtlebot2i
[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
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