Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003.
DOI: 10.1109/cca.2003.1223170
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Energy preserving control of a hopping robot based on hybrid port-controlled Hamiltonian modeling

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Cited by 16 publications
(12 citation statements)
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“…To account for these impulsive forces and model the dynamics of the hopper more accurately, it is necessary to model the leg as a mass rather than a massless spring. Saitou [11] and Ishikawa et al [6] proposed a two-mass system for a hopping robot in an effort to obtain a more accurate model of the robot in the flight phase. Saitou et al [11] used optimal control methods to maximized the jumping height of the robot in the presence of control constraints.…”
Section: Introductionmentioning
confidence: 99%
“…To account for these impulsive forces and model the dynamics of the hopper more accurately, it is necessary to model the leg as a mass rather than a massless spring. Saitou [11] and Ishikawa et al [6] proposed a two-mass system for a hopping robot in an effort to obtain a more accurate model of the robot in the flight phase. Saitou et al [11] used optimal control methods to maximized the jumping height of the robot in the presence of control constraints.…”
Section: Introductionmentioning
confidence: 99%
“…Niiyama [1] realized a jump motion of a humanoid robot with musculoskeletal mechanism. Ishikawa [2] proposed a motion stabilization method of hopping robots based on hybrid-system control theory. Ugurlu [3] researches on control.…”
Section: Introductionmentioning
confidence: 99%
“…It provides a framework to describe a system in terms of energy variables and interconnection of sub-systems by means of power ports. So far, it was adopted to model the dynamical behavior of robots with rigid or flexible links [14], hybrid hopping robots [15], underactuated aerial vehicles [16], soft finger manipulation [17], as well as for the control of bipedal walking robots [18]. This paper introduces a very general PH model for the collaborative task of manipulating a rigid object by a humanrobot team.…”
Section: Introductionmentioning
confidence: 99%