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yuwei-wu/README.md

Hi, welcome to my git! 🪴

  • I'm a Ph.D. student at UPenn ESE, working on motion planning for robots, 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 trajectory 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.

1. Motion planning

  • AllocNet: A lightweight learning-based trajectory optimization framework. (ROS1)
  • forces_resilient_planner: A systematic framework for local planning under external disturbance. (ROS1)

2. Environment representation

  • kr_opt_sfc: A tool to find optimal convex cover to approximate collision-free space.

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 (ROS1 & ROS2 compatible)

4. More collaboration works

  • SEER: Safe Efficient Exploration for Aerial Robots using Learning to Predict Information Gain
  • drl_lc_exploration: A multi-agent cooperative exploration in sparse landmark complex environments
  • DZone_Tracking: A risk-aware multi-agent target tracking framework with sensing and communication danger zones
  • resilient-target-tracking: A resilient and adaptive multi-robot target tracking framework with sensing and communication danger zones
  • hierarchical-llms: A hierarchical Large Language Models (LLMs) framework for real-time multi-robot task allocation and target tracking with unknown hazards

5. Toolkit for robotic research

  • Simulations
    • rotors_simulator (revised): Updated for ROS Noetic with additional features for evaluating moving obstacles and external forces. (ROS1)
    • planner_benchmark: Lightweight UAV simulation environment for benchmarking global and local trajectory optimization and planning. (ROS2)
    • planner_interface: A modular library for polynomial trajectory parameterization and representation for trajectory planning. (ROS2)
  • Trajectory Optimization
    • GCOPTER (revised): A revised version optimized for benchmarking, compatible with both ROS1 and ROS2, and available in a pure C++ implementation.
  • Utils
    • utils: A collection of utility functions and helper scripts for robotics-related development.

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

  • kr_param_yaw: A trajectory optimization method with global yaw parameterization

Pinned Loading

  1. KumarRobotics/kr_opt_sfc KumarRobotics/kr_opt_sfc Public

    Implementation for "Towards Optimizing a Convex Cover of Collision-Free Space for Trajectory Generation"

    C++ 32

  2. KumarRobotics/AllocNet KumarRobotics/AllocNet Public

    A lightweight learning-based trajectory optimization framework.

    C++ 104 8

  3. ZJU-FAST-Lab/forces_resilient_planner ZJU-FAST-Lab/forces_resilient_planner Public

    External Forces Resilient Safe Motion Planning for Quadrotor

    C 64 11

  4. KumarRobotics/kr_param_map KumarRobotics/kr_param_map Public

    A parameterized map generator for planning evaluations and benchmarking (ROS1 & ROS2 compatible)

    C++ 28 6

  5. RoboPhD RoboPhD Public

    A curated collection of papers, seminars, courses, and technical resources for robotic research.

    161 19

  6. KumarRobotics/kr_mp_design KumarRobotics/kr_mp_design Public

    A guidance for the design and evaluation of motion planners for quadrotors in Environments with Varying Complexities

    42 3