The analysis of terrestrial locomotion over the past half century has focused largely on strategies of mechanical energy recovery used during walking and running. In contrast, we describe the underlying mechanics of legged locomotion as a collision-like interaction that redirects the centre of mass (CoM). We introduce the collision angle, determined by the angle between the CoM force and velocity vectors, and show by computing the collision fraction, a ratio of actual to potential collision, that the quadrupedal walk and gallop employ collision-reduction strategies while the trot permits greater collisions. We provide the first experimental evidence that a collision-based approach can differentiate quadrupedal gaits and quantify interspecific differences. Furthermore, we show that this approach explains the physical basis of a commonly used locomotion metric, the mechanical cost of transport. Collision angle and collision fraction provide a unifying analysis of legged locomotion which can be applied broadly across animal size, leg number and gait.
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http://dx.doi.org/10.1098/rsif.2011.0019 | DOI Listing |
Sci Rep
December 2024
Department of Mechanical Engineering, Tarbiat Modares University, Tehran, Iran.
In this scholarly investigation, the study focuses on scrutinizing the locomotion and control mechanisms governing a single-legged robot. The analysis encompasses the robot's movement dynamics pertaining to two primary objectives: executing jumps and sustaining equilibrium throughout successive jump sequences. Diverse concepts of this robot model have been scrutinized, leading to the introduction of a distinctive semi-active model devised for maintaining the robot's balance.
View Article and Find Full Text PDFHeliyon
September 2024
Department of Mechatronics Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh.
The next generation of autonomous-legged robots will herald a new era in the fields of manufacturing, healthcare, terrain exploration, and surveillance. We can expect significant progress in a number of industries, including inspection, search and rescue, elderly care, workplace safety, and nuclear decommissioning. Advanced legged robots are built with a state-of-the-art architecture that makes use of stereo vision and inertial measurement data to navigate unfamiliar and challenging terrains.
View Article and Find Full Text PDFUltrasonics
December 2024
Vehicle Test and Research Department, CATARC Automotive Test Center (Changzhou) Co., Ltd., Changzhou 213161, China.
Piezoelectric micro-robots have gained considerable attention in rescue and medical applications due to their rapid response times and high positioning accuracy. In this paper, inspired by the human butterfly locomotion pattern, we propose a novel resonant four-legged piezoelectric micro-robot designed to achieve fast and efficient movement in complex and confined spaces. The robot utilizes the parallel piezoelectric bimorph as the driving unit, and its leg structure mimics the butterfly motion.
View Article and Find Full Text PDFBioinspir Biomim
December 2024
Dynamic Robotics and Artificial Intelligence Laboratory (DRAIL), Oregon State University, Corvallis, OR, United States of America.
Behaviors of animal bipedal locomotion can be described, in a simplified form, by the bipedal spring-mass model. The model provides predictive power, and helps us understand this complex dynamical behavior. In this paper, we analyzed a range of gaits generated by the bipedal spring-mass model during walking, and proposed a stabilizing touch-down condition for the swing leg.
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November 2024
The College of Shipbuilding Engineering, Harbin Engineering University, Harbin, 150001, China.
Agile and adaptive maneuvers such as fall recovery, high-speed turning, and sprinting in the wild are challenging for legged systems. We propose a Curricular Hindsight Reinforcement Learning (CHRL) that learns an end-to-end tracking controller that achieves powerful agility and adaptation for the legged robot. The two key components are (i) a novel automatic curriculum strategy on task difficulty and (ii) a Hindsight Experience Replay strategy adapted to legged locomotion tasks.
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