SHA1 implementation with collision detection.
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Updated
Jun 10, 2024 - Go
SHA1 implementation with collision detection.
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.
[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning
A curated list of robot social navigation.
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
NTFields-Based Multi-robot Path Planning.
Robot navigation with Q learning
Robot navigation in dynamic environment
Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space (IEEE-IV-2024)
Code base for SICNav: Safe and Interactive Crowd Navigation using Model Predictive Control and Bilevel Optimization
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++)
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