1998
DOI: 10.1109/70.736781
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A phase management framework for event-driven dextrous manipulation

Abstract: Multifingered robotic hands have not yet made significant inroads into practical applications, partly due to the complexity of dextrous manipulation tasks, and also due to control software shortcomings. High level task controllers exist, as do low level grasp controllers, but neither of these fully address the problems of changing kinematic and dynamic constraints that arise during a grasping and manipulation task. This paper develops a framework, utilizing phases, events, and transitions, that bridges the gap… Show more

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Cited by 11 publications
(7 citation statements)
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References 28 publications
(17 reference statements)
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“…The transition between independent and coordinated manipulation is based on signals from force and tactile sensors, following the approach of Hyde (1995). For manipulation of a grasped object, the controller must first map the operator's finger motions to the corresponding motions of a virtual object held in the hand.…”
Section: Control Frameworkmentioning
confidence: 99%
See 1 more Smart Citation
“…The transition between independent and coordinated manipulation is based on signals from force and tactile sensors, following the approach of Hyde (1995). For manipulation of a grasped object, the controller must first map the operator's finger motions to the corresponding motions of a virtual object held in the hand.…”
Section: Control Frameworkmentioning
confidence: 99%
“…We are interested in both independent control of the fingers (for exploration) and coordinated control for manipulating grasped objects. Following the approach of Hyde (1995) and Schneider and Cannon (1989), the dynamics are computed using Khatib's (1987) operational space formulation, with Hogan's (1985) impedance control to specify the behavior with respect to disturbances. The impedance control loop runs at 1 kHz and the hand has a closedloop bandwidth of approximately 10 Hz for small motions of the grasped object.…”
Section: Control Frameworkmentioning
confidence: 99%
“…The inputs set is given by as well as by physiologists studying human manipulation, that RI = {0 _ high _ velocity, 1 _ mid -velocity, 2 _ low_ velocity} a dextrous manipulation task can generally be decomposed into a sequence of control phases punctuated by events. For example, as the hand approachs an object it is often driven p (k +1) 2( p (k),X(k)) (11) using position control, but after the hand contact the object, it c (k) p (k) (12) is commanded to maintain control of internal forces. In this example, the sensation of contact is an event that signals the transition from one control phase to the next.…”
Section: Implementation Of the Hybrid Framework On Amentioning
confidence: 99%
“…In this example, the sensation of contact is an event that signals the transition from one control phase to the next. Decomposition X z of a task into phases reduces the complexity of the control problem, as a single control law can be applied during each phase [12][13] [14].…”
Section: Implementation Of the Hybrid Framework On Amentioning
confidence: 99%
“…In this example, the sensation of contact is an event that signals the transition from one control phase to the next. Decomposition of a task into phases reduces the complexity of the control problem, as a single control law can be applied during each phase [12][13] [14].…”
Section: Implementation Of the Hybrid Framework On A Real Teleopmentioning
confidence: 99%