Abstract
This work proposed a motion estimation method for a flexible robotic manipulator with a vision-based end-effector. The effectiveness of the proposed estimation method was evaluated by utilizing a non-linear dynamic model of a flexible manipulator using the co-rotational finite element method. This modeling utilized multiple co-ordinate (co-rotational) systems which rotated and translated with each element, allowing the investigation of flexible manipulator dynamics with the large rotational and translational motion. Smart piezoelectric sensors, embedded to the flexible manipulator, were used for vibration sensing purposes. Simulation results on a flexible manipulator demonstrated the feasibility of the proposed estimation method in predicting the movement of end-effector with a satisfactory accuracy. Experimental results confirmed the effectiveness of the estimation method. Results from the vision analysis, based on experimental results, demonstrated the feasibility of the estimation method for a further flexible manipulator application with the eye-in-hand system.
| Original language | English |
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| Title of host publication | 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509035496 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 - Phuket, Thailand Duration: 13 Nov 2016 → 15 Nov 2016 |
Publication series
| Name | 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 |
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Conference
| Conference | 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016 |
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| Country/Territory | Thailand |
| City | Phuket |
| Period | 13/11/16 → 15/11/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Free Keywords
- flexible manipulator
- motion estimation
- structural vibration
- visual sensing
ASJC Scopus subject areas
- Artificial Intelligence
- Control and Optimization
- Instrumentation
- Computer Vision and Pattern Recognition
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