This repository is an upgraded version of the pedsim_ros package, mainly featuring the addition of robot spawning capability during the pedestrian simulation.
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Updated
Jul 11, 2023 - C++
This repository is an upgraded version of the pedsim_ros package, mainly featuring the addition of robot spawning capability during the pedestrian simulation.
Human-Aware Navigation in diverse context, based on the localization of human with a leg detector.
This repository contains two Gazebo plugins for simulation crowd motion: one is the classical Social Force Model and the other is the Headed Social Force Model, where also the orientation of each pedestrian is taken into account.
Code base for SICNav: Safe and Interactive Crowd Navigation using Model Predictive Control and Bilevel Optimization
Social navigation with Mixed Strategy Nash Equilibrium
Uncertainty-Aware DRL for Autonomous Vehicle Crowd Navigation in Shared Space (IEEE-IV-2024)
Official repository for the paper "Move Beyond Trajectories: Distribution Space Coupling for Crowd Navigation"
This is a online social robot navigation framework that implements several techniques for that matter, like the social relevance validity checking and an extended social comfort cost function.
Socially Aware Robot Navigation on Ros with Turtlebot3
Code base for Social Robot Tree Search (SoRTS).
A curated list of robot social navigation.
Pedestrian ROS simulator with Gazebo and differential wheeled robots
SocialGym 2: A lightweight benchmark and simulator for multi-robot social navigation using ROS and the OpenAI gym.
[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles
Socially normative mobile robot navigation
Extended Social Force Model in Python for social navigation research
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)
Pedestrian simulator powered by the social force model
Code for "Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks", Gupta et al, CVPR 2018
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