智能机器人 |
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基于自适应随动机构的机器人目标跟随 |
陈宏鑫( ),张北,王春香*( ),杨明 |
上海交通大学 自动化系,上海 200240 |
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Robot target following based on adaptive follower mechanism |
Hong-xin CHEN( ),Bei ZHANG,Chun-xiang WANG*( ),Ming YANG |
Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China |
引用本文:
陈宏鑫,张北,王春香,杨明. 基于自适应随动机构的机器人目标跟随[J]. 浙江大学学报(工学版), 2022, 56(6): 1071-1078.
Hong-xin CHEN,Bei ZHANG,Chun-xiang WANG,Ming YANG. Robot target following based on adaptive follower mechanism. Journal of ZheJiang University (Engineering Science), 2022, 56(6): 1071-1078.
链接本文:
https://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2022.06.003
或
https://www.zjujournals.com/eng/CN/Y2022/V56/I6/1071
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1 |
谢嘉, 桑成松, 王世明, 等 智能跟随移动机器人的研究与应用前景综述[J]. 制造业自动化, 2020, 42 (10): 49- 55 XIE Jia, SANG Cheng-song, WANG Shi-ming, et al Overview of research and application prospect of intelligent following mobile robots[J]. Manufacturing Automation, 2020, 42 (10): 49- 55
doi: 10.3969/j.issn.1009-0134.2020.10.012
|
2 |
DAM A, VERMA A, PANGI C T, et al. Person following mobile robot using pedestrian dead-reckoning with inertial data of smartphones [C]// 2020 11th International Conference on Computing, Communication and Networking Technologies. Kharagpur: IEEE, 2020: 1-4.
|
3 |
TEE K T M, LAU B T, SISWOYO JO H An improved indoor robot human-following navigation model using depth camera, active IR marker and proximity sensors fusion[J]. Robotics, 2018, 7 (1): 4
doi: 10.3390/robotics7010004
|
4 |
AQUINO R J C, BELTRAN C K C, FAJARDO J W A, et al. Image processing based human following cart using 360° camera [C]// 2020 International Conference on Electronics and Sustainable Communication Systems. Coimbator: IEEE, 2020: 375-380.
|
5 |
张亚斌. 基于ROS的轮式移动机器人行人目标视觉感知与跟随系统研究[D]. 徐州: 中国矿业大学, 2019: 19-25. Zhang Ya-bin. Study on visual perception and following system for pedestrian target of wheeled mobile robot based on ROS [D]. Xuzhou: China University of Mining and Technology, 2019: 19-25.
|
6 |
CHENG X, JIA Y, SU J, et al. Person-following for telepresence robots using web cameras [C]// 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems. Macau: IEEE, 2019: 2096-2101.
|
7 |
TSUN M T K, THENG L B, JO H S. Pathfinding decision-making using proximity sensors, depth camera and active IR marker tracking data fusion for human following companion robot [C]// Proceedings of the 2017 International Conference on Information Technology. Singapore: ACM Press, 2017: 12-16.
|
8 |
LU Y, YANG M, WANG C, et al. Pedestrian tracking based on laser and image data fusion [C]// 2019 IEEE International Conference on Real-Time Computing and Robotics. Irkutsk: IEEE, 2019: 231-236.
|
9 |
ZHANG W, WANG J, GUO X, et al Two-stream RGB-D human detection algorithm based on RFB network[J]. IEEE Access, 2020, 8: 123175- 123181
doi: 10.1109/ACCESS.2020.3007611
|
10 |
JAFARI O H, MITZEL D, LEIBE B. Real-time RGB-D based people detection and tracking for mobile robots and head-worn cameras [C]// 2014 IEEE International Conference on Robotics and Automation. Hong Kong: IEEE, 2014: 5636-5643.
|
11 |
YEKKEHFALLAH M, YANG M, CAI Z, et al Accurate 3D localization using RGB-TOF camera and IMU for industrial mobile robots[J]. Robotica, 2021, 39 (10): 1816- 1833
doi: 10.1017/S0263574720001526
|
12 |
ZHANG B, YANG M, YUAN W, et al. A novel system for guiding unmanned vehicles based on human gesture recognition [C]// 2020 IEEE International Conference on Real-time Computing and Robotics. Asahikawa: IEEE, 2020: 345-350.
|
13 |
REDMON J, FARHADI A. YOLOv3: an incremental improvement [EB/OL]. [2021-05-31]. http://arxiv.org/abs/1804.02767.
|
14 |
HE K, ZHANG X, REN S, et al. Deep residual learning for image recognition [C]// Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas: IEEE, 2016: 770-778.
|
15 |
BEWLEY A, GE Z, OTT L, et al. Simple online and realtime tracking [C]// 2016 IEEE International Conference on Image Processing. Phoenix: IEEE, 2016: 3464-3468.
|
16 |
WOJKE N, BEWLEY A, PAULUS D. Simple online and realtime tracking with a deep association metric [C]// 2017 IEEE International Conference on Image Processing. Beijing: IEEE, 2017: 3645-3649.
|
17 |
ZHANG Y, WANG C, WANG X, et al FairMOT: on the fairness of detection and re-identification in multiple object tracking[J]. International Journal of Computer Vision, 2021, 129 (11): 3069- 3087
doi: 10.1007/s11263-021-01513-4
|
18 |
PERILLE D, TRUONG A, XIAO X, et al. Benchmarking metric ground navigation [C]// 2020 IEEE International Symposium on Safety, Security, and Rescue Robotics. Abudhabi: IEEE, 2020: 116-121.
|
19 |
WEN J, ZHANG X, BI Q, et al. MRPB 1.0: a unified benchmark for the evaluation of mobile robot local planning approaches [C]// 2021 IEEE International Conference on Robotics and Automation. Xi’an: IEEE, 2021: 8238-8244.
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