Trajectory Planning and Object Recognition for Robot Sensing and Control
An increasing number of robots are entering our lives and industrial production. Trajectory planning and object recognition have become key research areas, with tasks such as 3D grasping, flexible operation, and navigation depending on machine vision and multi-sensor fusion. Recent advances in such...
Saved in:
| 格式: | Online |
|---|---|
| 语言: | 英语 |
| 出版: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
|
| 主题: | |
| 在线阅读: | ONIX_20250812T095121_9783725828630_144 |
| 标签: |
没有标签, 成为第一个标记此记录!
|
| _version_ | 1869525551295758336 |
|---|---|
| collection | Directory of Open Access Books |
| description | An increasing number of robots are entering our lives and industrial production. Trajectory planning and object recognition have become key research areas, with tasks such as 3D grasping, flexible operation, and navigation depending on machine vision and multi-sensor fusion. Recent advances in such technologies have driven novel theories, mechanisms, and processing technologies for intelligent robots and autonomous unmanned systems. This Special Issue has collected papers discussing new sensor-based robot control theories and engineering applications, trajectory planning and control, environment perception and target detection, multi-sensor fusion and calibration, and autonomous unmanned systems. The research focuses on UAVs, human posture, underwater bionic aircraft, multi-sensor fusion, etc. The development of artificial intelligence algorithms provides a viable solution for the trajectory planning and target recognition of robot sensing and control, and it shows immense potential in dealing with complex environments and dynamic constraints. |
| format | Online |
| id | doab-20.500.12854ir-165195 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1651952025-08-12T08:11:17Z Trajectory Planning and Object Recognition for Robot Sensing and Control Peng, Gang Fan, Zhun sensor-based robot control trajectory planning object recognition target tracking pose estimation machine vision and multi-sensor fusion 3D grasping planning flexible operation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology An increasing number of robots are entering our lives and industrial production. Trajectory planning and object recognition have become key research areas, with tasks such as 3D grasping, flexible operation, and navigation depending on machine vision and multi-sensor fusion. Recent advances in such technologies have driven novel theories, mechanisms, and processing technologies for intelligent robots and autonomous unmanned systems. This Special Issue has collected papers discussing new sensor-based robot control theories and engineering applications, trajectory planning and control, environment perception and target detection, multi-sensor fusion and calibration, and autonomous unmanned systems. The research focuses on UAVs, human posture, underwater bionic aircraft, multi-sensor fusion, etc. The development of artificial intelligence algorithms provides a viable solution for the trajectory planning and target recognition of robot sensing and control, and it shows immense potential in dealing with complex environments and dynamic constraints. 2025-08-12T08:11:14Z 2025-08-12T08:11:14Z 2025 book ONIX_20250812T095121_9783725828630_144 9783725828630 9783725828647 https://directory.doabooks.org/handle/20.500.12854/165195 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10886 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-2864-7 10.3390/books978-3-7258-2864-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725828630 9783725828647 250 open access |
| spellingShingle | sensor-based robot control trajectory planning object recognition target tracking pose estimation machine vision and multi-sensor fusion 3D grasping planning flexible operation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Trajectory Planning and Object Recognition for Robot Sensing and Control |
| title | Trajectory Planning and Object Recognition for Robot Sensing and Control |
| title_full | Trajectory Planning and Object Recognition for Robot Sensing and Control |
| title_fullStr | Trajectory Planning and Object Recognition for Robot Sensing and Control |
| title_full_unstemmed | Trajectory Planning and Object Recognition for Robot Sensing and Control |
| title_short | Trajectory Planning and Object Recognition for Robot Sensing and Control |
| title_sort | trajectory planning and object recognition for robot sensing and control |
| topic | sensor-based robot control trajectory planning object recognition target tracking pose estimation machine vision and multi-sensor fusion 3D grasping planning flexible operation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | sensor-based robot control trajectory planning object recognition target tracking pose estimation machine vision and multi-sensor fusion 3D grasping planning flexible operation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20250812T095121_9783725828630_144 |