Rotation sensing and gesture control of a robot joint via triboelectric quantization sensor
Creators
- 1. Department of Applied Physics, State Key Laboratory of Power Transmission Equipment & System Security and New Technology, Chongqing University, Chongqing 400044, PR (China)
- 2. School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332-0245 (United States)
- 3. Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 100083, PR (China)
Description
Highlights: • A coupled sliding grating structure was designed to induce positive/negative pulses for counting. • The finger's flexion-extension degree, speed and direction can be directly quantified via counting pulses. • A hinge model was employed to verify the sensor's linearity. • The synchronous robotic control system can recover at any breakpoint in finger's flexion-extension process. In human-machine interaction, robotic hands are expected to work like human's hands and to be even more powerful or delicate in certain situations. To operate robotic hands via human gesture instead of handle or button will make this human-robot interface more natural and precise. Here, we designed a joint motion triboelectric quantization sensor (jmTQS) for constructing a robotic hand synchronous control system. Based on the ultrahigh sensitivity of a triboelectric nanogenerator (TENG) to mechanical displacement, the jmTQS designed as grating-sliding mode realized directly quantifying a joint's flexion-extension degree/speed. Through counting the pulses induced by jmTQS and signing the positive/negative of the pulses to represent flexion/extension, the joint's angular position can be determined with absolute value on the basis of the initial human-robotic synchronizing position value. In the whole operating course, the intuitionistic human-robotic hand two-dimensional motion mapping can be preserved. The minimum resolution angle of the fabricated jmTQSs is 3.8° and can be further improved by decreasing the grating width. This direct quantization and intuitionistic mapping at the sensing stage greatly simplified the signal processing and classification algorithms, which contributes to achieving the natural, high-precision and real-time interface.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.nanoen.2018.10.044Additional details
Identifiers
- DOI
- 10.1016/j.nanoen.2018.10.044;
- PII
- S2211285518307675;
Publishing Information
- Journal Title
- Nano Energy (Print)
- Journal Volume
- 54
- Journal Page Range
- p. 453-460
- ISSN
- 2211-2855
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52108591
- Subject category
- S77: NANOSCIENCE AND NANOTECHNOLOGY;
- Descriptors DEI
- ALGORITHMS; CONTROL SYSTEMS; MAN-MACHINE SYSTEMS; ROBOTS; ROTATION; SENSITIVITY; SENSORS; SIGNALS
- Descriptors DEC
- EQUIPMENT; MATHEMATICAL LOGIC; MOTION
Optional Information
- Copyright
- Copyright (c) 2018 Elsevier Ltd. All rights reserved.