Projects per year
Abstract
Tactile sensing is required for human-like control with robotic manipulators. Multimodality is an essential component for these tactile sensors, for robots to achieve both the perceptual accuracy required for precise control, as well as the robustness to maintain a stable grasp without causing damage to the object or the robot itself. In this study, we present a cheap, 3D-printed, compliant, dual-modal, optical tactile sensor that is capable of both high (temporal) speed sensing, analogous to pain reception in humans and high (spatial) resolution sensing, analogous to the sensing provided by Merkel cell complexes in the human fingertip. We apply three tasks for testing the sensing capabilities in both modes; first, a depth modulation task, requiring the robot to follow a target trajectory using the high-speed mode; second, a high-resolution perception task, where the sensor perceives angle and radial position relative to an object edge; and third, a tactile exploration task, where the robot uses the high-resolution mode to perceive an edge and subsequently follow the object contour. The robot is capable of modulating contact depth using the high-speed mode, high accuracy in the perception task, and accurate control using the high-resolution mode.
| Original language | English |
|---|---|
| Pages (from-to) | 1033-1040 |
| Number of pages | 8 |
| Journal | IEEE Robotics and Automation Letters |
| Volume | 3 |
| Issue number | 2 |
| Early online date | 17 Jan 2018 |
| DOIs | |
| Publication status | Published - Apr 2018 |
Research Groups and Themes
- Tactile Action Perception
Fingerprint
Dive into the research topics of 'Dual-Modal Tactile Perception and Exploration'. Together they form a unique fingerprint.Projects
- 1 Finished
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Tactile Superresolution Sensing
Lepora, N. F. (Principal Investigator)
1/11/15 → 30/06/17
Project: Research
Datasets
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Dual-modal tactile perception and exploration
Pestell, N. (Creator), Lepora, N. (Creator) & Lepora, N. (Data Manager), University of Bristol, 6 Dec 2017
DOI: 10.5523/bris.1s5pofgyr9i9v1ypc1zhdh8b8b, http://data.bris.ac.uk/data/dataset/1s5pofgyr9i9v1ypc1zhdh8b8b
Dataset