Org1c's starred repositories
Hands-on-RL
https://hrl.boyuai.com/
pedsim_ros
Pedestrian simulator powered by the social force model
Stable-Alignment
Multi-agent Social Simulation + Efficient, Effective, and Stable alternative of RLHF. Code for the paper "Training Socially Aligned Language Models in Simulated Human Society".
rl-collision-avoidance
Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"
Path-Planning
本代码的实现包括两个部分： 第一部分： 基于人工势场法的机器人路径规划：随机生成12-15个障碍物，每个障碍物随机占据6-20个栅格，利用该人工势场法编程实现机器人从左下到右上的路径规划。 同时在代码中已实现动态展示的效果。 第二部分： 基于果蝇优化算法的路径规划：根据提供的地图，实现单机器人的全局路径规划。以及拓展部份的双机器人路径规划，两个机器人分别从左下到右上，和从右下到左上。 调用方法： 第一部分：直接运行main.m，有关于调参的部分在main.m开头 第二部分： 单机器人部分：提供了两个地图的示例，test1.m和test2.m 双机器人部分：思路是设置不同的起始点，把单机器人部分连续跑两遍，同时判断不会相撞的条件是计算交叉点处是否有时间差
cogment-verse
Research platform for Human-in-the-loop learning (HILL) & Multi-Agent Reinforcement Learning (MARL)
learning-nav-irl
Learning human-aware robot navigation behavior from demonstrations via Maximum Entropy Inverse Reinforcement Learning.
Robot-simulation-in-a-warehouse-environment
Task Allocation and Path Planning of Many Robots with Motion Uncertainty in a Warehouse Environment
Path_planning_GA_Behaviour_Based
Formation control and obstacle avoidance are two required features for swarm robots to reach an intended goal in an environment with obstacles. Navigation of swarm robots is done using both behavior-based approach and Evolutionary Algorithm (EA) based model.
human_drone_SC
[ICDE 2022] Human-Drone Collaborative Spatial Crowdsourcing by Memory-Augmented Distributed Multi-Agent Deep Reinforcement Learning
BCI_Multi_Robot
The human will use BCI to participate in the multi-robot strategy selection and control a single-robot at any time. For this purpose, a specific simulation system has been developed, which composed of: a non-invasive BCI Emotiv Epoc; a Graphical User Interface (GUI) based on QT; a multi-robot simulation environment based on Gazebo (open-source 3D robotics simulator).
LMPC_Quadrotors
Learning Model Predictive Control for Quadrotors Minimum-Time Flight in Autonomous Racing Scenarios
factorybot
Simulate an Autonomous Guided Vehicle (AGV) in a factory environment while doing localization, mapping and path planning.
human_aware_robot_navigation
Autonomous social navigation with dynamic obstacle avoidance using Lattice Planner (global) and Timed Path Follower (local) in hospitals environment.
human_marl
Cooperative Multi Agent Reinforcement Learning with Human in the Loop
fuzzy_mi_controller
ROS code for the fuzzy Mixed-Initiative controller
Limit-cycle-based-Navigation
Socially-Aware Reactive Obstacle Avoidance Strategy Based on Limit Cycle
CollaborativeTransportation2D
The MATLAB code shows a simple collaborative transportation task carried out on a planar workspace. The models, algorithms and results given in this code are linked to the T-RO paper "Learning Physical Robot Collaborative Behaviors from Human Demonstrations"
Warehouse-Robots-Path-Planning
Designing an optimized path for multiple robots in a warehouse for picking and delivery operations using A* algorithm (shortest path) and linear programming (task allocation).
Multi-Robot-Symbolic-Motion-Planning-with-Trust-associated-HRI
We associate a trust based decision making mechanism with the human multi-robot interaction system
RL_Shared-Control
Comfort-oriented Haptic Guidance Steering via Deep Reinforcement Learning for Individualized Lane Keeping Assist
Multi-Robot-Multi-Human-Collision-Avoidance
Inspired by A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance.
hrsi_matlab
HRSI is a MATLAB simulator for human-robot behaviours in a shared environment.