2020
DOI: 10.1080/01691864.2020.1822913
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Design and performance characterization of a soft robot hand with fingertip haptic feedback for teleoperation

Abstract: A soft robot hand with fingertip haptic feedback for teleoperation is proposed to perform complex tasks and ensure safe and friendly human-machine interaction. This robot hand can perform finger flexion/extension and abduction/adduction motions. A data glove is used to collect the hand joint angle data of the operator. Flexion sensors are embedded in the soft robot hand to monitor the bending angles of the actuators. Pressure sensors on the fingertips of the robot hand collect contact force data, and haptic fe… Show more

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Cited by 14 publications
(6 citation statements)
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References 41 publications
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“…The hybrid design of the granular-tendon gripper demonstrates its capability to universally adapt to multiple objects of diverse sizes and weights, from light to heavy, which can be mounted to the robot arm [ 52 ], therapy robot hands [ 53 ], and soft haptic fingers [ 54 ]. The gripper exhibited high success rates in picking up small- and big-size objects.…”
Section: Discussionmentioning
confidence: 99%
“…The hybrid design of the granular-tendon gripper demonstrates its capability to universally adapt to multiple objects of diverse sizes and weights, from light to heavy, which can be mounted to the robot arm [ 52 ], therapy robot hands [ 53 ], and soft haptic fingers [ 54 ]. The gripper exhibited high success rates in picking up small- and big-size objects.…”
Section: Discussionmentioning
confidence: 99%
“…[193] Soft grippers with these sensors are highly adaptable to the shape of objects and teleoperation with haptic feedback allows for complex work to be performed such as grasping and handling fragile items remotely. [194]…”
Section: Magneticmentioning
confidence: 99%
“…Impedance-controlled rehabilitation exercises can provide different stimulation to muscles through different combinations of impedance parameters and adjust the exercise intensity by changing the control gain of the motion program controller [18]. Min Li team from Xi'an Jiaotong University [19] designed a robot teleoperation soft hand based on tactile feedback of fingertips is used to complete complex tasks and ensure the safety and friendliness of human-computer interaction. Manipulator can achieve finger flexion and contraction action.…”
Section: Related Workmentioning
confidence: 99%