ArticleFrontiers in robotics and AI2021
Experimental Evaluation of Tactile Sensors for Compliant Robotic Hands.
Article in Frontiers in robotics and AI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Evaluation of different robotic grippers for simultaneous multi-object grasping.Frontiers in robotics and AI · 2024Article
- Mass-Manufacturable 3D Magnetic Force Sensor for Robotic Grasping and Slip Detection.Sensors (Basel, Switzerland) · 2023Article
- MEMS-Based Tactile Sensors: Materials, Processes and Applications in Robotics.Micromachines · 2022Review
- Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The sense of touch is a key aspect in the human capability to robustly grasp and manipulate a wide variety of objects. Despite many years of development, there is still no preferred solution for tactile sensing in robotic hands: multiple technologies are available, each one with different benefits depending on the application. This study compares the performance of different tactile sensors mounted on the variable stiffness gripper CLASH 2F, including three commercial sensors: a single taxel sensor from the companies Tacterion and Kinfinity, the Robotic Finger Sensor v2 from Sparkfun, plus a self-built resistive 3 × 3 sensor array, and two self-built magnetic 3-DoF touch sensors, one with four taxels and one with one taxel. We verify the minimal force detectable by the sensors, test if slip detection is possible with the available taxels on each sensor, and use the sensors for edge detection to obtain the orientation of the grasped object. To evaluate the benefits obtained with each technology and to assess which sensor fits better the control loop in a variable stiffness hand, we use the CLASH gripper to grasp fruits and vegetables following a published benchmark for pick and place operations. To facilitate the repetition of tests, the CLASH hand is endowed with tactile buttons that ease human-robot interactions, including execution of a predefined program, resetting errors, or commanding the full robot to move in gravity compensation mode.
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Registered trials
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