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Thread: Miscellaneous

  1. #1

    Miscellaneous



    A robot teaches itself how to walk

    Uploaded on Feb 15, 2012

    Cornell University professor Hod Lipson demonstrates how a robot can teach itself to walk without any knowledge of its form and function. "Within a relatively small number of these babbling actions, it will figure out what it looks like," Lipson says. He adds that eventually "it can figure out how to move."

  2. #2


    Walking Follows Form
    May 25, 2014

    This film is showing a few characters walking. And we can find that the method and style of walking depends on how each character's body structure is formed.
    Animation: Jun seo Hahm
    Music: Sun min Hwang

  3. #3
    Article "Speedy robots may someday run to the rescue"

    by the National Science Foundation
    December 24, 2015

  4. #4


    RI Seminar: Jonathan Hurst : Designing robots to walk and run

    Streamed live April 1, 2016

    Jonathan Hurst
    College of Engineering Deans Professor, Oregon State University

    April 01, 2016

    Abstract
    Legged locomotion is a challenging physical interaction task: underactuation, unexpected impacts, and large and rapidly changing forces and velocities are commonplace. Utilizing passive hardware dynamics in tight integration with the software control, with both aspects of “behavior design” considered together as part of the overall design process, can drastically improve the performance of a machine as measured by efficiency, agility, and robustness to disturbances.

    This design philosophy was recently demonstrated on ATRIAS, a bipedal spring-mass robot. The passive dynamics of the hardware match a simple biomechanically-derived spring-mass model, while the software control relies on the passive dynamics as an integrated aspect of the system behavior. ATRIAS walks using approximately 400W of power, accelerates to a run, handles large unexpected obstacles with no prior knowledge of the terrain, and is the first machine to reproduce the dynamics of a human walking gait. In this presentation, we explain our design philosophy, results with ATRIAS, current work on a successor robot Cassie, and plans for commercialization of this technology by Agility Robotics.


    Speaker Biography
    Jonathan W. Hurst is the College of Engineering Dean's Professor of Robotics in the School of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University, and the co-founder and Chief Technology Officer of Agility Robotics. He holds a B.S. in Mechanical Engineering, and both an M.S. and Ph.D. in Robotics, all from Carnegie Mellon University. His university research focuses on understanding the fundamental science and engineering best practices for legged locomotion. Investigations range from numerical studies and analysis of animal data, to simulation studies of theoretical models, to designing, constructing, and experimenting with legged robots for walking and running.

  5. #5


    RGB-D camera-based navigation system of a walking robot

    Published on Apr 19, 2016

    We present the application of the RGB-D sensor in the navigation system of a six-legged walking robot. The RGB-D sensor is used in the SLAM subsystem to estimate pose of the robot and to build dense environment model (elevation map). The paper presents the navigation system of the robot. The system includes SLAM subsystem, mapping module, motion planner and robot's controller. The results of the experiments on the real robot are provided. The influence of the localization system on the quality of the obtained elevation map is presented.
    References:
    Motion planning:
    [1] D. Belter, P. Labecki, P. Skrzypczynski, Adaptive Motion Planning for Autonomous Rough Terrain Traversal with a Walking Robot, Journal of Field Robotics
    [2] D. Belter, Perception-based motion planning for a walking robot in rugged terrain, In Lecture Notes in Control and Information Sciences: Robot Motion and Control (K. Kozlowski, Ed.), pp. 127-136, Springer, Berlin 2011
    Mapping:
    [3] D. Belter, P. Labecki, P. Fankhauser, R. Siegwart, RGB-D terrain perception and dense mapping for legged robots, International Journal of Applied Mathematics and Computer Science, vol. 26(1), pp. 81-97, 2016
    SLAM:
    [4] D. Belter, M. Nowicki, P. Skrzypczynski, Accurate Map-Based RGB-D SLAM for Mobile Robots, Robot 2015: Second Iberian Robotics Conference, Vol. 418 of the series Advances in Intelligent Systems and Computing, pp. 533-545, 2015

  6. #6


    Walking off-road vehicle by Meccano

    Published on Jun 1, 2016

  7. #7


    Crazy robot mech goats

    Published on Jul 24, 2016

    Saw some crazy robots at a festival in my hometown!

  8. #8


    Lego walking machine

    Published on Jan 6, 2017

    Lego walking machine which was no more on youtube.

  9. #9


    Talk: Legged Robots: Stepping out of the continuous and differentiable zone by Dr.Diego Pardo

    Published on May 10, 2017

    Talk given on 13.02.2017. For more information please read Dr. Pardo's most recent publication

  10. #10


    Walking machine by Meccano, off-road

    Published on Jun 23, 2017

    Walking Machine by Meccano, complex, heavy and slow, but off-road

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