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Hi, welcome to my git! πŸͺ΄

  • 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: A tool to find optimal convex cover to approximate collision-free space
  • kr_param_yaw: A trajectory optimization method with global yaw parameterization

1. Motion planning

  • AllocNet: A lightweight learning-based trajectory optimization framework.
  • forces_resilient_planner: A systematic framework for local planning under external disturbance.

2. Environment representation

3. Simulation and benchmarks

  • kr_mp_design: A guidance for the design and evaluation of motion planners for quadrotors
  • kr_param_map: A parameterized map generator for planning evaluations and benchmarking

4. More collaboration works

  • SEER: Safe Efficient Exploration for Aerial Robots using Learning to Predict Information Gain
  • DZone_Tracking: A risk-aware multi-agent target tracking framework with sensing and communication danger zones
  • drl_lc_exploration: A multi-agent cooperative exploration in sparse landmark complex environments

GitHub Streak

Yuwei Wu's Projects

agile_autonomy icon agile_autonomy

Repository Containing the Code associated with the Paper: "Learning High-Speed Flight in the Wild"

agile_flight icon agile_flight

Developing and Comparing Vision-based Algorithms for Vision-based Agile Flight

allocnet icon allocnet

A lightweight learning-based trajectory optimization framework.

backup-openbilibili-go-common icon backup-openbilibili-go-common

2019εΉ΄4-22ζ—₯-bilibili-εΉ²ζ―η«™εŽη«―ζΊη οΌˆεŽŸεŒ…εˆ ι™€ε‰ζœ€εŽδΈ€η‰ˆ170MοΌ‰

decompros icon decompros

A revised version for ROS based convex decomposition

dsol icon dsol

DSOL: Direct Sparse Odometry Lite

epsilon icon epsilon

Revised version of the EPSILON simulator for autonomous driving (only mathematical sim, no physical engine)

galaxy icon galaxy

Generating Large Convex Polytopes Directly on Point Clouds (2D)

grid_map icon grid_map

Universal grid map library for mobile robotic mapping

gym-pybullet-drones icon gym-pybullet-drones

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

imu_vn_100 icon imu_vn_100

ROS driver for VN-100 of VectorNav Technologies

jps3d icon jps3d

A C++ implementation of Jump Point Search on both 2D and 3D maps

motion_capture_system icon motion_capture_system

Drivers for motion capture systems (Vicon and Qualisys, can be extended to compatible with other mocap systems)

multi_mav_manager icon multi_mav_manager

This is a multi MAV manager which leverages mav_manager and quadrotor_control for each agent.

path_planner icon path_planner

Hybrid A* Path Planner for the KTH Research Concept Vehicle

rl-path-racing icon rl-path-racing

We are trying to combine reinforcement learning and trajectory optimization to win in F 1/10 racing.

robocup_robot icon robocup_robot

Upennalizers team member, localization and computer vision review and study

robophd icon robophd

Some records and notes of weekly arXiv papers, GRASP seminars, and resources

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