Abstract
Current industrial robot arms are not satisfied in flexibility and intelligence due to the lack of visual perception. The production efficiency also runs into a bottleneck because most parts must be completely fixed when assembling and welding. We propose a vision-based intelligent robot arm, which can dynamically sense the environment and perform appropriate operations. The measurement system consists of operator face authentication, gesture remote control, abnormal entry detection and moving target tracking. The capabilities of human-machine interaction and dynamic measurement meet the needs of high-performance robot arm in intelligent manufacturing, with the characteristics of intelligence, safety, efficiency and flexibility. Various functions of the intelligent robot arm are verified through a large number of experiments in laboratory.
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Acknowledgment
This work was supported by the Natural Science Foundation of China (No 61603291), National Science and Technology Major Project (2018ZX01008101-004).
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Chen, L., Yang, H., Liu, P. (2019). Intelligent Robot Arm: Vision-Based Dynamic Measurement System for Industrial Applications. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11744. Springer, Cham. https://doi.org/10.1007/978-3-030-27541-9_11
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DOI: https://doi.org/10.1007/978-3-030-27541-9_11
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