Electrohydraulic musculoskeletal robotic leg for agile, adaptive, yet energy-efficient locomotion.

Journal: Nature communications
PMID:

Abstract

Robotic locomotion in unstructured terrain demands an agile, adaptive, and energy-efficient architecture. To traverse such terrains, legged robots use rigid electromagnetic motors and sensorized drivetrains to adapt to the environment actively. These systems struggle to compete with animals that excel through their agile and effortless motion in natural environments. We propose a bio-inspired musculoskeletal leg architecture driven by antagonistic pairs of electrohydraulic artificial muscles. Our leg is mounted on a boom arm and can adaptively hop on varying terrain in an energy-efficient yet agile manner. It can also detect obstacles through capacitive self-sensing. The leg performs powerful and agile gait motions beyond 5 Hz and high jumps up to 40 % of the leg height. Our leg's tunable stiffness and inherent adaptability allow it to hop over grass, sand, gravel, pebbles, and large rocks using only open-loop force control. The electrohydraulic leg features a low cost of transport (0.73), and while squatting, it consumes only a fraction of the energy (1.2 %) compared to its conventional electromagnetic counterpart. Its agile, adaptive, and energy-efficient properties would open a roadmap toward a new class of musculoskeletal robots for versatile locomotion and operation in unstructured natural environments.

Authors

  • Thomas J K Buchner
    Soft Robotics Lab, D-MAVT, ETH Zurich, Zurich, Switzerland.
  • Toshihiko Fukushima
    Locomotion in Biorobotic and Somatic Systems Group, Max Planck Institute for Intelligent Systems, Heisenbergstraße 3, Stuttgart 70569, Germany.
  • Amirhossein Kazemipour
    Soft Robotics Lab, D-MAVT, ETH Zurich, 8092, Zurich, Switzerland.
  • Stephan-Daniel Gravert
    Soft Robotics Lab, D-MAVT, ETH Zurich, 8092, Zurich, Switzerland.
  • Manon Prairie
    Soft Robotics Lab, D-MAVT, ETH Zurich, 8092, Zurich, Switzerland.
  • Pascal Romanescu
    Soft Robotics Lab, D-MAVT, ETH Zurich, 8092, Zurich, Switzerland.
  • Philip Arm
    Soft Robotics Lab, D-MAVT, ETH Zurich, 8092, Zurich, Switzerland.
  • Yu Zhang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Xingrui Wang
    Department of Radiology, Xi'an No.3 Hospital, The Affiliated Hospital of Northwest University, Shaanxi Province, 710018, Xi'an, China.
  • Steven L Zhang
    Robotic Materials Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany.
  • Johannes Walter
    Robotic Materials Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany.
  • Christoph Keplinger
    Department of Mechanical Engineering, University of Colorado, Boulder, Colorado, USA.
  • Robert K Katzschmann
    Soft Robotics Laboratory, ETH Zurich, Tannenstrasse 3, Zurich, 8092, Switzerland.