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[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
Learning Agile Flights on SE(3): a novel deep SE(3) motion planning and control method for quadrotors. It learns an MPC's adaptive SE(3) decision variables parameterized by a portable DNN, encourag…
Quadrotor control using minimum snap trajectory optimization and SE3 geometric controller
Archive of installation package and dependencies of Clash Verge on Debian/Ubuntu
🟢 收录 Clash Verge Rev, Clash for Windows,Clash for Android,FlClash 等Clash内核全平台客户端 Github 官方仓库与详细图文配置教程 (2026最新)
将EgoPlanner后端(纯净版)基于B样条的轨迹优化封装单独可用的C++文件,并将三维轨迹将为2维轨迹,适用于地面移动机器人实时局部路径规划
Socket debugging tool, TCP server, TCP client, websocket server, websocket client, heartbeat packet (based on qt5.9)----Socket调试工具,TCP服务端、TCP客户端、WebSocket服务端、WebSocket客户端、心跳包(基于Qt5.9)
Release repo for our SLAM Handbook
Ultra fast and low latency asynchronous socket server & client C++ library with support TCP, SSL, UDP, HTTP, HTTPS, WebSocket protocols and 10K connections problem solution
Geometric controllers developed at FDCL for UAVs
[IROS'25] Learning to Initialize Trajectory Optimization for Vision-Based Autonomous Flight in Unknown Environments
实现了改进的 AD-Census 算法,① 基于自适应权重的代价聚合算法,② 实现了预处理和简化的后处理滤波算法
You can densely map datasets through RVIZ and create your own TUM dataset to create maps
Part of my final year project: "Robot Path Planning based on Visual SLAM". This is the Visual SLAM part. This project is mainly based on https://github.com/lturing/ORB_SLAM3_ROS
Using BehaviorTree.cpp to add reactive behaviors to robot.
Development and integration in ROS of Behavior Trees for an autonomous mobile robot created through vocal interactions
Solutions for the behavior tree tutorials: https://www.behaviortree.dev/tutorial_01_first_tree/
[RA-L'25] An Reliable and Efficient Framework for Zero-Shot Object Navigation
Multi/Single UAV(unmanned aerial vehicle) path planning based on deep reinforcement learning
深度强化学习路径规划, SAC路径规划, Soft Actor-Critic算法, SAC-pytorch,激光雷达Lidar避障,激光雷达仿真,Adaptive-SAC
Implementations of Reinforcement Learning and Planning algorithms
code implementation for "Efficient Trajectory Planning for Coordinated Arrival of Fixed-Wing UAV Swarm"