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Using sensors & machine learning in an agricultural robot : GummiArm.
- Format:
- Video
- Series:
- Sage research methods.
- Language:
- English
- Subjects (All):
- Robotics.
- Machine learning.
- Detectors.
- Agricultural innovations.
- Physical Description:
- 1 online resource (1 video file (00:11:02)) : sound, colour
- Other Title:
- Using sensors and machine learning in an agricultural robot : GummiArm
- Place of Publication:
- London : SAGE Publications Ltd, 2019.
- Language Note:
- Closed-captions in English.
- Summary:
- Jake Shaw-Sutton, senior robotic technician at the University of Plymouth, discusses the GummiArm, a machine-learning, robotic device that has been adapted to, and field-tested in, agricultural settings. The success of the GummiArm lies in its variable configuration, a multitude of sensors, and machine vision; it is also offered as open source and has possibilities as a human prostheses.
- Participant:
- Speaker, Jake Gibson Shaw-Sutton.
- Notes:
- Description based on XML content.
- ISBN:
- 9781526488527 (streaming video) :
- OCLC:
- 1091311035
- Access Restriction:
- Restricted for use by site license.
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