PythonRobotics Course


Welcome to PythonRobotics Online Course with live Instructor using an interactive cloud desktop environment DaDesktop. Experience remote live training using an interactive, remote desktop led by a human being!


14 hours

¥575,196


What is PythonRobotics?


Python Robotics (Pyro) is a project designed to create an easy-to-use interface for accessing and controlling a wide variety of real and simulated robots.

Content

  • Introduction
  • Requirements
  • How to use
  • Localization
    • Extended Kalman Filter localization
    • Particle filter localization
    • Histogram filter localization
  • Mapping
    • Gaussian grid map
    • Ray casting grid map
    • Lidar to grid map
    • k-means object clustering
    • Rectangle fitting
  • SLAM
    • Iterative Closest Point (ICP) Matching
    • FastSLAM 1.0
  • Path Planning
    • Dynamic Window Approach
    • Grid based search
      • Dijkstra algorithm
      • A* algorithm
      • Potential Field algorithm
      • Grid based coverage path planning
    • State Lattice Planning
      • Biased polar sampling
      • Lane sampling
    • Probabilistic Road-Map (PRM) planning
    • Rapidly-Exploring Random Trees (RRT)
      • RRT*
      • RRT* with reeds-shepp path
      • LQR-RRT*
    • Quintic polynomials planning
    • Reeds Shepp planning
    • LQR based path planning
    • Optimal Trajectory in a Frenet Frame
  • Path Tracking
    • move to a pose control
    • Stanley control
    • Rear wheel feedback control
    • Linearquadratic regulator (LQR) speed and steering control
    • Model predictive speed and steering control
    • Nonlinear Model predictive control with C-GMRES
  • Arm Navigation
    • N joint arm to point control
    • Arm navigation with obstacle avoidance
  • Aerial Navigation
    • drone 3d trajectory following
    • rocket powered landing
  • Bipedal
    • bipedal planner with inverted pendulum



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Course Schedules


Date Time
May 30, 2022 (Monday) 09:30 AM - 04:30 PM
June 13, 2022 (Monday) 09:30 AM - 04:30 PM
June 27, 2022 (Monday) 09:30 AM - 04:30 PM
July 11, 2022 (Monday) 09:30 AM - 04:30 PM
July 25, 2022 (Monday) 09:30 AM - 04:30 PM
August 8, 2022 (Monday) 09:30 AM - 04:30 PM
August 22, 2022 (Monday) 09:30 AM - 04:30 PM


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