Motion Capture Related Papers

Chuanxin Cheng, Hao Zhang, Yuan Sun, Hongfeng Tao, Yiyang Chen,A cross-platform deep reinforcement learning model for autonomous navigation without global information in different scenes,Control Engineering Practice,Volume 150,2024,105991,ISSN 0967-0661,h

uav-ugv navigation obstacle-collision-avoidance perception control

J. Li, J. Ji, Q. Wang, H. Yu, Y. Pan and F. Gao, "Active Collision-Based Navigation for Wheeled Robots," 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 2024, pp. 10932-10938, doi: 10.1109/ICRA57147.2024.10610726.

uav-ugv obstacle-collision-avoidance navigation localization perception planning path-planning

L. Xu et al., "An Efficient Trajectory Planner for Car-Like Robots on Uneven Terrain," 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, 2023, pp. 2853-2860, doi: 10.1109/IROS55552.2023.10341558.

trajectory-planning navigation uav-ugv mobile-robot

R. Li and B. Xin, "Autonomous Navigation of Quadrotors in Dynamic Complex Environments," in IEEE Transactions on Industrial Electronics, doi: 10.1109/TIE.2024.3433585.

uav-ugv obstacle-collision-avoidance navigation perception control trajectory-planning path-planning

C. Ma et al., "Decentralized Planning for Car-Like Robotic Swarm in Cluttered Environments," 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, 2023, pp. 9293-9300, doi: 10.1109/IROS55552.2023.10342360.

multi-robot-system navigation obstacle-collision-avoidance trajectory-planning control mobile-robot uav-ugv

Z. Li, Y. Tian, G. Yang, Y. Zhang, E. Li and Z. Liang, "Design and Analysis of Hybrid Robots for Powerline Inspection," 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), Bari, Italy, 2024, pp. 3654-3659, doi: 10.1109/CA

inspection-robot mobile-robot navigation control uav-ugv

P. Luo, S. Yao, Y. Yue, J. Wang, H. Yan and M. Q. . -H. Meng, "Efficient RRT*-based Safety-Constrained Motion Planning for Continuum Robots in Dynamic Environments," 2024 IEEE International Conference on Robotics and Automation (ICRA), Yokohama, Japan, 20

continuum-robot soft-robot obstacle-collision-avoidance navigation planning trajectory-planning

Chai K, Xu L, Wang Q, et al. LF-3PM: a LiDAR-based Framework for Perception-aware Planning with Perturbation-induced Metric[J]. arXiv preprint arXiv:2408.01649, 2024.

obstacle-collision-avoidance navigation localization perception trajectory-planning

B. Li, Y. Ouyang, X. Li, D. Cao, T. Zhang and Y. Wang, "Mixed-Integer and Conditional Trajectory Planning for an Autonomous Mining Truck in Loading/Dumping Scenarios: A Global Optimization Approach," in IEEE Transactions on Intelligent Vehicles, vol. 8, n

mobile-robot obstacle-collision-avoidance navigation localization trajectory-planning motion-planning path-planning uav-ugv

R. Zhang et al., "Model-Based Planning and Control for Terrestrial-Aerial Bimodal Vehicles with Passive Wheels," 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI, USA, 2023, pp. 1070-1077, doi: 10.1109/IROS55552

uav-ugv control navigation

Guo L, Gongye Z, Xu Z, et al. Preserving Relative Localization of FoV-Limited Drone Swarm via Active Mutual Observation[J]. arXiv preprint arXiv:2407.01292, 2024.

uav-ugv localization formation-swarm vision navigation

L. Shi, W. X. Zheng, Q. Liu, Y. Liu and J. Shao, "Privacy-Preserving Distributed Iterative Localization for Wireless Sensor Networks," in IEEE Transactions on Industrial Electronics, vol. 70, no. 11, pp. 11628-11638, Nov. 2023, doi: 10.1109/TIE.2022.32312

mobile-robot multi-robot-system uav-ugv formation-swarm navigation localization cooperation

C. Shi, G. Lai, Y. Yu, M. Bellone and V. Lippiello, "Real-Time Multi-Modal Active Vision for Object Detection on UAVs Equipped With Limited Field of View LiDAR and Camera," in IEEE Robotics and Automation Letters, vol. 8, no. 10, pp. 6571-6578, Oct. 2023,

uav-ugv navigation vision perception control

T. Zhang, J. Xu, H. Shen, R. Yang and T. Yang, "RMSC-VIO: Robust Multi-Stereoscopic Visual-Inertial Odometry for Local Visually Challenging Scenarios," in IEEE Robotics and Automation Letters, vol. 9, no. 5, pp. 4130-4137, May 2024, doi: 10.1109/LRA.2024.

uav-ugv slam navigation

K. Ze, W. Wang, K. Liu and J. Lü, "Time-Varying Formation Planning and Distributed Control for Multiple UAVs in Clutter Environment," in IEEE Transactions on Industrial Electronics, vol. 71, no. 9, pp. 11305-11315, Sept. 2024, doi: 10.1109/TIE.2023.333544

uav-ugv multi-robot-system obstacle-collision-avoidance formation-swarm navigation control trajectory-planning cooperation path-planning

Xiaokang Lei, Shuai Zhang, Yalun Xiang & Mengyuan Duan, Self-organized multi-target trapping of swarm robots with density-based interaction, Complex & Intelligent Systems,2023

multi-robot-system formation-swarm mobile-robot navigation localization perception control vision cooperation

Xu Yang，Xiaojie Yu ，C;hi Zhang，Sen Li， Qiang Niu，MineGPS， Battery-Free Localization Base Station for Coal Mine Environment ， IEEE Communications Letters

uav-ugv mobile-robot navigation localization vision

Yanshun Zhang，Nan Wang，Ming Li，Shudi Weng，Yongqiang Han，Frogman Self-Navigation Method Based on Virtual Transponder Array and Dead Reckoning，IEEE Access，Beihang University (formerly known as Beijing University of Aeronautics and Astronautics)

navigation localization marine&underwater human-body

Yuming Cui，Songyong Liu，Jian Yao，Congcong Gu，Integrated Positioning System of Unmanned Automatic Vehicle in Coal Mines，IEEE Transactions on Instrumentation and Measurement，China University of Mining and Technology

mobile-robot uav-ugv navigation localization

Kuiyuan Zhang, Pengpeng Chen, Tianbing Ma, and Shouwan Gao，On-demand Precise Tracking for Energy-constrained UAVs in Underground Coal Mines，IEEE Transactions on Instrumentation and Measurement

uav-ugv localization navigation

Yanshun Zhang，Nan Wang，Ming Li，Xue Sun，Zhanqing Wang，Indoor Relative Positioning Method and Experiment Based on Inertial Measurement Information/Human motion model/UWB Combined System，2020 27th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)，2020

localization navigation human-body

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Capture Volume*

Objective*

Full Bodies Drones/Robots Others

Quantity

Camera Type

Pluto1.3C Mars1.3H Mars2H Mars4H Underwater Others/I do not know

Camera Count

4 6 8 12 16 20 24 Others/I don't know

Research Papers Featuring NOKOV Motion Capture

Research Papers
Featuring NOKOV Motion Capture