2009 9th IEEE-RAS International Conference on Humanoid Robots 2009
DOI: 10.1109/ichr.2009.5379579
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Force position control for a pneumatic anthropomorphic hand

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Cited by 16 publications
(10 citation statements)
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“…So we developed a reactive grasping approach for unknown objects, which uses multimodal sensor information from the vision system and the haptic sensors [12]. For gathering haptic information we use a 6-DoF force/torque sensor in the wrist, tactile sensors in the finger tips and the palm of the hand and the torque measurement of the pneumatic hand controller, which uses the joint position and the air pressure measurement for estimating the torque of the finger joint actuators [13].…”
Section: Grasping Unknown Objectsmentioning
confidence: 99%
“…So we developed a reactive grasping approach for unknown objects, which uses multimodal sensor information from the vision system and the haptic sensors [12]. For gathering haptic information we use a 6-DoF force/torque sensor in the wrist, tactile sensors in the finger tips and the palm of the hand and the torque measurement of the pneumatic hand controller, which uses the joint position and the air pressure measurement for estimating the torque of the finger joint actuators [13].…”
Section: Grasping Unknown Objectsmentioning
confidence: 99%
“…When considering the use of PMAs for the actuation of a biomimetic design, the available contraction and its direct connection to the produced contractile force play a major role on the joint design strategy. It has to be noted that the PMA technology provides a maximum of 25-30% permissible stroke, which when compared to the 50-70% of the biological muscle [14], creates challenges in producing similar motion ranges for given joint dimensions. This challenge is also intensified by the fact that the forces exerted on the PMAs during movement have a direct impact on its permissible contraction [4].…”
Section: Towards the Development Of A Lower-limb Balancing Humanoid Rmentioning
confidence: 99%
“…The same design techniques were also used in later efforts [9][10][11] for developing lower-limb humanoids for postural analysis and control but also restricted to the sagittal motion plane. Different design approaches were incorporated in the foot design for analyzing running capabilities in [12], while alternative placement for the PMA pairs in the hip-knee formations has been considered in [13,14]. The most recent efforts included the development and control of a robotic knee-ankle setup, which enabled ankle movements in both sagittal and planes by incorporating PMAs in a synergistic fashion [15,16].…”
Section: Introductionmentioning
confidence: 99%
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“…Some are based on linkages [3]- [5], some are based on tendon-actuated mechanisms [6]- [8], while others are based on flexible actuators [9]- [11]. Due to the self-adaptation to the object grasped, the under-actuated hands have well compliance in limited inputs [12].…”
mentioning
confidence: 99%