2014
DOI: 10.1017/s0263574714001544
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Optimal power loss motion planning in legged robots

Abstract: SUMMARYAn iterative algorithm to minimize energy loss in kinematic chains is proposed. This algorithm is designed to low level of control where variables such as terminal states, runtime, and physical and electrical parameters of the movement are given by higher levels of control. An original complex problem of optimization is transformed into a simple quadratic programming problem subject to linear constraints by discretizing all dynamic system variables. The whole system is then converted into a recursive ma… Show more

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Cited by 9 publications
(4 citation statements)
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“…The classic model of a DC motor 5,8 is used as the basis for developing an instrumentation system and protocol to determine the electrical EE rate of each actuator. The applied voltage…”
Section: Dof-based Instrumentation System For Biped Robot Energy Expementioning
confidence: 99%
See 1 more Smart Citation
“…The classic model of a DC motor 5,8 is used as the basis for developing an instrumentation system and protocol to determine the electrical EE rate of each actuator. The applied voltage…”
Section: Dof-based Instrumentation System For Biped Robot Energy Expementioning
confidence: 99%
“…Energy expenditure (EE)-as the consumption of an energy or fuel source-of robotic systems is an important performance criterion in design and control for improved efficiency, prolonged operation time, task planning and optimization, and extended battery life. [1][2][3][4][5][6][7][8] Methods of monitoring, predicting, and optimizing electrical EE in robotic systems are becoming increasingly necessary as robots become viable proxies for humans in an ever-increasing variety of tasks. 9 Evaluation of electrical EE in robotic systems can be done either indirectly through mathematical models or directly through current and voltage sensing.…”
Section: Introductionmentioning
confidence: 99%
“…Potts et al. [19] propose an iterative algorithm to minimize energy loss in kinematic chains of legged robots. Tian et al.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, a lot of studies have been carried out to investigate the optimal problem in robot trajectory generation and motion planning. Potts et al [19] propose an iterative algorithm to minimize energy loss in kinematic chains of legged robots. Tian et al [20] present a motion planning method for six-legged robot using optimized the configuration approach.…”
Section: Introductionmentioning
confidence: 99%