Deep Reinforcement Learning Based Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots

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

ROS Robotic Deep Learning

Using RGB Image as Visual Input for Mapless Robot Navigation

SARL*: Deep RL based human-aware navigation for mobile robot in crowded indoor environments implemented in ROS.

Toolkit for vision-guided quadrupedal locomotion research

Code for the Nerf Navigation Paper. Implements a trajectory optimiser and state estimator which use NeRFs as an environment representation

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Occlusion-Aware Crowd Navigation Using People as Sensors: ICRA2023

Official codebase for Perceptive Locomotion Under Dynamic Environments (PRELUDE)

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

Repository of the work: Improving robot navigation in crowded environments using intrinsic rewards (ICRA 2023)

[ICRA 2023] Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning

Adaptive Risk Tendency Implicit Quantile Network for Drone Navigation under Partial Observability.

Evaluating long-term memory of reinforcement learning algorithms

Novel reinforcement learning based local planner that accounts for the dynamic constraints of the robot to enable smooth robot trajectories. Reward shaping is done to enable a spatially aware navig…

Source codes for our ICRA 2022 paper: "Enhanced Spatial Attention Graph for Motion Planning in Crowded, Partially Observable Environments"

JackalCrowdEnv, an OpenAI gym style environment for running navigation tasks with the Jackal robot in Gazebo and ROS

Extended Social Force Model in Python for social navigation research

"Autonomous Emergency Landing for Multicopters using Deep Reinforcement Learning", IROS 2022

A customized grid map-based navigation simulation platform following the Gym API.