Large-Scale Tactile Detection System Based on Supervised Learning for Service Robots Human Interaction
In this work, a large-scale tactile detection system is proposed, whose development is based on a soft structure using Machine Learning and Computer Vision algorithms to map the surface of a forearm sleeve. The current application has a cylindrical design, whose dimensions intend to be like a human...
Main Authors: | Fábio Cunha, Tiago Ribeiro, Gil Lopes, A. Fernando Ribeiro |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/2/825 |
Similar Items
-
Feel-Good Requirements: Neurophysiological and Psychological Design Criteria of Affective Touch for (Assistive) Robots
by: Mehmet Ege Cansev, et al.
Published: (2021-07-01) -
Flexible Pressure Sensors Based on Microcrack Structure and Composite Conductive Mechanism for Medical Robotic Applications
by: Qiang Zou, et al.
Published: (2023-05-01) -
Fabric Classification Using a Finger-Shaped Tactile Sensor via Robotic Sliding
by: Si-ao Wang, et al.
Published: (2022-02-01) -
Haptics for teleoperated surgical robotic systems /
by: Tavakoli, M.
Published: (2008) -
Feel-Good Robotics: Requirements on Touch for Embodiment in Assistive Robotics
by: Philipp Beckerle, et al.
Published: (2018-12-01)