https://github.com/yuwei-wu/yuwei-wu

https://github.com/yuwei-wu/yuwei-wu

Last synced: 9 days ago
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• Host: GitHub
• URL: https://github.com/yuwei-wu/yuwei-wu
• Owner: yuwei-wu
• Created: 2021-04-29T04:36:35.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-09-17T20:23:41.000Z (4 months ago)
• Last Synced: 2024-11-07T04:50:03.607Z (about 2 months ago)
• Size: 18.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Hi, welcome to my git! :potted_plant:

- I'm a Ph.D. student at Upenn ESE, working on motion planning, with the supervision of Professor Vijay Kumar.

- My research interests are:

  - (Multi-agent) Task and motion planning

  - (Learning-enabled) Trajectory generation and optimization

  - Aerial robot applications (exploration, tracking, navigation)

- I welcome collaboration if:

  - You are interested in exploring research topics, particularly in planning.

  - You are a Penn student looking to pursue an independent study or thesis under my guidance.

  

### Open-Source

I am passionate about open sourcing to benefit the entire robotics community.

#### under construction (in this order I will work on it)

- [kr_opt_sfc](https://github.com/KumarRobotics/kr_opt_sfc): A tool to find optimal convex cover to approximate collision-free space

- [kr_param_yaw](https://github.com/KumarRobotics/kr_param_yaw): A trajectory optimization method with global yaw parameterization

#### 1. Motion planning 

- [AllocNet](https://github.com/KumarRobotics/AllocNet): A lightweight learning-based trajectory optimization framework.

- [forces_resilient_planner](https://github.com/ZJU-FAST-Lab/forces_resilient_planner): A systematic framework for local planning under external disturbance.

#### 2. Environment representation

#### 3. Simulation and benchmarks

- [kr_mp_design](https://github.com/KumarRobotics/kr_mp_design): A guidance for the design and evaluation of motion planners for quadrotors

- [kr_param_map](https://github.com/KumarRobotics/kr_param_map): A parameterized map generator for planning evaluations and benchmarking

#### 4. More collaboration works 

- [SEER](https://github.com/tyuezhan/SEER): Safe Efficient Exploration for Aerial Robots using Learning to Predict Information Gain

- [drl_lc_exploration](https://github.com/M4D-SC1ENTIST/drl_lc_exploration): A multi-agent cooperative exploration in sparse landmark complex environments

- [DZone_Tracking](https://github.com/Zhourobotics/DZone_Tracking): A risk-aware multi-agent target tracking framework with sensing and communication danger zones

- [resilient-target-tracking](https://github.com/Zhourobotics/resilient-target-tracking): A resilient and adaptive multi-robot target tracking framework with sensing and communication danger zones

- [hierarchical-llms](https://github.com/Zhourobotics/hierarchical-llms): A hierarchical Large Language Models (LLMs) framework for real-time multi-robot task allocation and target tracking with unknown hazards

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