• Proceedings of the Korean Society of Precision Engineering Conference
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• 2000.11a
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• pp.7-10
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• 2000

Inadequate footholds selection may result in deadlock state where the walking vehicle can not anymore to the desired direction. This paper concerns about the footholds selection for quadruped v, vehicle to walk with the leg lifting sequence of crawl gait which is desired for straight motion. supporting states for lifting a leg are defined and the proper supporting condition for quadruped c: also proposed. When selecting a footholds of swing leg within the proposed footholds searching are; supporting states after the swing legs are placed, satisfy the proper supporting condition. So it can I for quadruped to execute continuous walking with the lifting sequence of crawl gait.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.309-312
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• 2003

Though a legged robot has high terrain adaptability as compared with a wheeled vehicle, its moving speed is considerably low in general. For attaining a high moving speed with a legged robot, a dynamically stable walking, such as running for a biped robot and a trot gait or a bound gait for a quadruped robot, is a promising solution. However, energy efficiency of a dynamically stable walking is generally lower than the efficiency of a stable gait such as a crawl gait. In this paper, we present an experimental study on the energy efficiency of a quadruped walking vehicle. Energy consumption of two walking patterns for a trot gait is investigated though experiments using a TITAN-VIII.

• Proceedings of the KIEE Conference
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• 1990.07a
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• pp.467-470
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• 1990

This thesis presents a simple heuristic algorithm which can be applied. to a quadruped wafting vehicle for increasing the terrain adaptability. The proposed method controls a leg length which is in tranfer phase to maintain initial orientation of the robot body by using FSR type force sensors attached to foot-tips. Also, some basic experiments using the vehicle are performed to demonstrate the effectiveness of the algorithm.