TomwKang

TomwKang's Stars

• guochuangpeng/Interview_Questions

  这用于针对slam_路径规划_控制的常见面试题

  175

• zhongtianda/px4_gazebo_fuel

  Language:C++122

• OpenDriveLab/UniAD

  [CVPR 2023 Best Paper] Planning-oriented Autonomous Driving

  Language:Python3.1k325

• ethz-asl/nbvplanner

  A real-time capable exploration and inspection path planner (next best view planning)

  Language:C++340120

• ntnu-arl/LKH_TSP

  A set of tools to solve TSP problems using the LKH solver

  Language:Python8528

• hku-mars/MARSIM

  MARSIM: A light-weight point-realistic simulator for LiDAR-based UAVs

  Language:C++27331

• SYSU-RoboticsLab/FAEL

  FAEL: Fast Autonomous Exploration for Large-Scale Environments with a Mobile Robot

  Language:C++14519

• SeanZsya/tdle

  TDLE: 2D Lidar Exploration with Hierarchical Planning Using Regional Division

  Language:C++245

• VIS4ROB-lab/fast_multi_robot_exploration

  "Fast Multi-UAV Decentralized Exploration of Forests", RAL 2023

  Language:C++6610

• rogueyan5/Interviews_Notes_PNC

  Language:C++165

• marmotlab/large-scale-DRL-exploration

  [RAL 2024] Deep Reinforcement Learning-based Large-scale Robot Exploration - - Public code and model

  Language:Python152

• ntnu-arl/gbplanner_ros

  Graph-based Exploration Planner for Subterranean Environments

  Language:C++647147

• jzstudent/UAV-auto-navigation-and-object-tracking-based-on-RL

  毕业设计的代码部分，实现了UE4和airsim环境下无人机自主导航和目标跟踪的强化学习算法。

  Language:C++20128

• PIC4SeR/PIC4rl_gym

  This is the official repository of the PIC4rl-gym presented in the paper https://ieeexplore.ieee.org/abstract/document/10193996 (Accepted at ICCCR 2023).

  Language:Python325

• young-how/DQN-based-UAV-3D_path_planer

  RLGF is a general training framework suitable for UAV deep reinforcement learning tasks. And integrates multiple mainstream deep reinforcement learning algorithms(SAC, DQN, DDQN, PPO, Dueling DQN, DDPG).

  Language:Python27226

• caochao39/mtare_planner

  Language:C++405

• HongbiaoZ/autonomous_exploration_development_environment

  Leveraging system development and robot deployment for ground-based autonomous navigation and exploration.

  Language:C++584169

• RobustFieldAutonomyLab/DRL_graph_exploration

  Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs

  Language:C++11319

• hamflx/huawei-pc-manager-bootstrap

  解决非华为电脑无法安装华为电脑管家的问题。

  Language:Rust33940

• RDLLab/lci-net

  Locally Connected Interrelated Network: A Forward Propagation Primitive

  Language:Python3

• AdaCompNUS/qmdp-net

  QMDP-Net implementation

  Language:Python6419

• SYSU-STAR/RACER

  Rapid Exploration with Multiple Unmanned Aerial Vehicles (UAV)

  Language:C++37965

• HITSZ-NRSL/IGLOV

  [TMECH 2023] Active View Planning for Visual SLAM in Outdoor Environments Based on Continuous Information Modeling

  Language:C++585

• ntnu-arl/informative-planning

  Single point of reference repository for our collection of open-sourced planners

  232

• davidchangoluisa/uav_frontier_based_collector

  Source code of the article: Autonomous Exploration of Unknown 3D Environments Using a Frontier-Based Collector Strategy

  Language:C++11

• hku-mars/FAST_LIO

  A computationally efficient and robust LiDAR-inertial odometry (LIO) package

  Language:C++2.4k825

• JulioPlaced/ExplORB-SLAM

  Language:C++7014

• UZ-SLAMLab/ORB_SLAM3

  ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM

  Language:C++6.2k2.5k

• PaddlePaddle/PaddleRobotics

  PaddleRobotics is an open-source algorithm library for robots based on Paddle, including open-source parts such as human-robot interaction, complex motion control, environment perception, SLAM positioning, and navigation.

  Language:Python21455

• ZJU-FAST-Lab/Car-like-Robotic-swarm

  Source code for the decentralized car-like robotic swarm

  Language:C++10820