4.7 Article

Coordination of lateral body bending and leg movements for sprawled posture quadrupedal locomotion

Journal

INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
Volume 40, Issue 4-5, Pages 747-763

Publisher

SAGE PUBLICATIONS LTD
DOI: 10.1177/0278364921991158

Keywords

bio-inspired robot; legged locomotion; geometric mechanics

Categories

Funding

  1. NSF [PoLS PHY-1205878]
  2. ARO [W911NF-11-1-0514]

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This study investigates the coordination between body bending and limb movement in quadrupedal locomotion, using a geometric approach to quantify gait performance and optimize coordination patterns for systems dominated by damping forces. The effectiveness of lateral undulation coordinated with leg movement in robot motion is demonstrated, with theoretical results validated through numerical simulations and robophysical experiments. The study not only focuses on robotics, but also accurately predicts optimal body bending of a living salamander.
Many animals generate propulsive forces by coordinating legs, which contact and push against the surroundings, with bending of the body, which can only indirectly influence these forces. Such body-leg coordination is not commonly employed in quadrupedal robotic systems. To elucidate the role of back bending during quadrupedal locomotion, we study a model system: the salamander, a sprawled-posture quadruped that uses lateral bending of the elongate back in conjunction with stepping of the limbs during locomotion. We develop a geometric approach that yields a low-dimensional representation of the body and limb contributions to the locomotor performance quantified by stride displacement. For systems where the damping forces dominate inertial forces, our approach offers insight into appropriate coordination patterns, and improves the computational efficiency of optimization techniques. In particular, we demonstrate effect of the lateral undulation coordinated with leg movement in the forward, rotational, and lateral directions of the robot motion. We validate the theoretical results using numerical simulations, and then successfully test these approaches using robophysical experiments on granular media, a model deformable, frictional substrate. Although our focus lies primarily on robotics, we also demonstrate that our tools can accurately predict optimal body bending of a living salamander Salamandra salamandra.

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