LHL6666 / perceptionLinks
Team of ChongShi Perception Source Code
☆14Updated 4 years ago
Alternatives and similar repositories for perception
Users that are interested in perception are comparing it to the libraries listed below
Sorting:
- ☆38Updated last year
- Unmanned system perception and navigation laboratory featuring virtual reality fusion and embodied intelligence☆15Updated 7 months ago
- 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。☆384Updated last year
- ☆61Updated 2 years ago
- multi-turtlebot3 collision avoidance and navigation via DDPG-LSTM with Prioritized Experience Replay on ROS☆76Updated 2 years ago
- ☆81Updated 7 years ago
- obstacle detection and avoidance for UAV via gazebo☆64Updated last year
- UAV landing on mobile car based on vision☆50Updated 4 years ago
- Deep Reinforcement Learning (RL) algorithms for underwater target tracking with Autonomous Underwater Vehicles (AUV)☆116Updated 2 years ago
- This is a platform we can use to finish some simple RL demonstration. Team members will modify it step by step~~Hold on! Aoligei!☆27Updated last year
- [RA-Letter 2022] Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards☆244Updated 2 months ago
- 在turtlebot3,pytorch上使用DQN,DDPG,PPO,SAC算法,在gazebo上实现仿真。Use DQN, DDPG, PPO, SAC algorithm on turtlebot3, pytorch on turtlebot3, pytorch, an…☆113Updated last year
- ☆41Updated 2 years ago
- Code for the paper "Collaborative Target Search with a Visual Drone Swarm: Adaptive Curriculum Embedded Multistage Reinforcement Learnin…☆51Updated last year
- ☆54Updated 3 years ago
- ☆70Updated 7 years ago
- code for `Autonomous navigation of UAV in multi-obstacle environments based on a Deep Reinforcement Learning approach'☆34Updated last year
- DRL-based path planner for real quadrotor☆50Updated last year
- Target tracking environments for RL☆30Updated 4 years ago
- A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader ag…☆49Updated 2 years ago
- 利用深度强化学习的方法实现多智能体间离散 无交流的障碍避免。其中强化学习算法训练模型所需的数据集由最优互惠碰撞避免(Optimal Reciprocal Collision Avoidance, ORCA)算法生成。☆85Updated 6 years ago
- Research Project on Multi-robot Target Tracking via Deep Reinforcement Learning☆19Updated 4 years ago
- ☆23Updated 5 years ago
- [T-ITS'23] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).☆141Updated last year
- Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.☆80Updated last year
- Reinforcement Learning-based exploration algorithm for a fleet of UAVs in an unknown environment.☆76Updated last year
- Deep Reinforcement Learning (RL) for target tracking with Autonomous Underwater Vehicles (AUV) using SB3 and HoloOcean simulator☆65Updated this week
- Deep Reinforcement Learning based autonomous navigation in realistic simulation environments.☆50Updated last year
- ☆48Updated 3 years ago
- 设置不同的栅格地图,采用TSP问题的求解思路,应用多种算法实现单个机器人在有障碍和无障碍情况下的全覆盖路径规划: 动态规划、分支限界、蚁群算法、模拟退火以及简单的弓字型遍历。还实现了MTSP,即多旅行商问题。☆78Updated 4 years ago