[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"

[TRO 2025] NeuPAN: Direct Point Robot Navigation with End-to-End Model-based Learning.

[RA-Letter 2023] "RDA: An Accelerated Collision Free Motion Planner for Autonomous Navigation in Cluttered Environments"

[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles

[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph

[IROS20] Relational graph learning for crowd navigation

A multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️

Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

ROS Wrapper of RDA planner

[ICRA 2024] Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning

[IROS 2023] Robust Unmanned Surface Vehicle Navigation with Distributional Reinforcement Learning

A Collision Avoidance and Path Planning Framework implemented for a dual arm Pick and Place robot task simulation. Velocity Obstacles and RRTStar Motion Planner are used in the algorithm to plan dynamic collisionless trajectories.

[ICRA 2023] Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph -- Sim2real code on Turtlebot2i

Code base for SICNav: Safe and Interactive Crowd Navigation using Model Predictive Control and Bilevel Optimization

[arXiv 2024] "HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments"

ADAS Car - with Collision Avoidance System (CAS) - on Indian Roads using LIDAR-Camera Low-Level Sensor Fusion. DIY Gadget built with Raspberry Pi, RP LIDAR A1, Pi Cam V2, LED SHIM, NCS 2 and accessories like speaker, power bank etc

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.