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Prototype development and gait planning of biologically inspired multi-legged crablike robot
Authors:Xi Chen  Li-quan Wang  Xiu-fen Ye  Gang Wang  Hai-long Wang
Affiliation:1. College of Automation, Harbin Engineering University, No. 145, Nantong Street, Nangang District, Harbin, Heilongjiang Province 150001, PR China;2. College of Mechanical and Electrical Engineering, Harbin Engineering University, No. 145, Nantong Street, Nangang District, Harbin, Heilongjiang Province 150001, PR China;3. College of Mechanical and Electrical Engineering, Heilongjiang Institute of Technology, No. 999, Hongqi Street, Daowai District, Harbin, Heilongjiang Province 150050, PR China
Abstract:In order to investigate the walking gait of the legged robot with multiple redundant walking legs, the motion features of the biologic crab are studied. To study the motion property of multi-legged animals in depth, an event sequence analysis method is proposed, and employed to design the motion pattern of multi-legged robot. A low-consumption environmental self-adaptive bionic gait with its phase factor of 0.25 and duty factor of 0.454 is analyzed based on the analysis of pace order, gait parameters and single leg’s terminal trajectory on uneven terrain. According to the structures and motion patterns of biologic crab, a multi-legged crablike prototype with its experimental platform is developed. The contrast tests of environmental self-adaptive bionic gait and double tetrapod gait are experimented at the same velocity, and slope climbing tests are performed as well. The experimental results show that, although the double tetrapod gait enables four legs to support the robot’s body at any time, there exists halt or backward phenomena periodically. However, the robot using the new gait has lower gravity fluctuation in displacement and velocity without halt or backward problem, and the decreasing of motion speed leads to the increasing of the gravity fluctuation and the toe-force.
Keywords:Multi-legged robot  Gait planning  Environmental self-adaptive bionic gait  Event sequence
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