Research and Application of Intelligent Robotic Arms in Navigation and Operation Technology for Industrial Production
Պահպանված է:
| Հրատարակված է: | MATEC Web of Conferences vol. 410 (2025) |
|---|---|
| Հիմնական հեղինակ: | |
| Հրապարակվել է: |
EDP Sciences
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| Խորագրեր: | |
| Առցանց հասանելիություն: | Citation/Abstract Full Text - PDF |
| Ցուցիչներ: |
Չկան պիտակներ, Եղեք առաջինը, ով նշում է այս գրառումը!
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| 001 | 3275046799 | ||
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| 022 | |a 2274-7214 | ||
| 022 | |a 2261-236X | ||
| 024 | 7 | |a 10.1051/matecconf/202541004022 |2 doi | |
| 035 | |a 3275046799 | ||
| 045 | 2 | |b d20250101 |b d20251231 | |
| 084 | |a 268433 |2 nlm | ||
| 100 | 1 | |a Jin, Yicheng | |
| 245 | 1 | |a Research and Application of Intelligent Robotic Arms in Navigation and Operation Technology for Industrial Production | |
| 260 | |b EDP Sciences |c 2025 | ||
| 513 | |a Conference Proceedings | ||
| 520 | 3 | |a With the promotion of Industry 4.0 and intelligent manufacturing, intelligent robotic arms have become the core equipment of industrial automation transformation. The intelligent robotic arm has the characteristics of high precision, high flexibility and high efficiency. This paper systematically discusses the integrated and application of intelligent robotic arm and navigation technology in industrial production, and analyzes their key technologies and practical challenges. This study focuses on the industrial applicability of intelligent robotic arms and the theoretical basis of navigation technology. It combines some key problems such as dynamic path planning, and proposes an optimization scheme based on deep learning, Kalman filtering and multi-sensor fusion. Furthermore, the role of emerging technologies such as artificial intelligence and Internet of Things in promoting the intelligence and autonomy of robotic arms is prospected, and it is pointed out that the future development direction will focus on high- precision positioning, real-time dynamic obstacle avoidance, human- machine collaboration and green manufacturing. This paper provides theoretical support and technical reference for the efficient application of intelligent robotic arms in complex industrial environments, and helps to contribute to efficient and sustainable development of intelligent manufacturing | |
| 653 | |a Navigation | ||
| 653 | |a Internet of Things | ||
| 653 | |a Robot arms | ||
| 653 | |a Industry 4.0 | ||
| 653 | |a Industrial applications | ||
| 653 | |a Sustainable development | ||
| 653 | |a Manufacturing | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Real time | ||
| 653 | |a Industrial production | ||
| 653 | |a Obstacle avoidance | ||
| 653 | |a Intelligent manufacturing systems | ||
| 653 | |a Multisensor fusion | ||
| 653 | |a Kalman filters | ||
| 653 | |a Industrial robots | ||
| 653 | |a Robotics | ||
| 773 | 0 | |t MATEC Web of Conferences |g vol. 410 (2025) | |
| 786 | 0 | |d ProQuest |t Materials Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3275046799/abstract/embedded/J7RWLIQ9I3C9JK51?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3275046799/fulltextPDF/embedded/J7RWLIQ9I3C9JK51?source=fedsrch |