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Research Papers
Featuring NOKOV Motion Capture

Studies Utilizing NOKOV's Advanced Motion Capture Solutions
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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
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.
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.
G. Chen, W. Dong, P. Peng, J. Alonso-Mora and X. Zhu, "Continuous Occupancy Mapping in Dynamic Environments Using Particles," in IEEE Transactions on Robotics, vol. 40, pp. 64-84, 2024, doi: 10.1109/TRO.2023.3323841.
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.
Y. Liu, Z. Cao, H. Xiong, J. Du, H. Cao and L. Zhang, "Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots With Mobile Bases via Sim-to-Real Reinforcement Learning," in IEEE Robotics and Automation Letters, vol. 8, no. 3, pp. 1683-1690, March 2023
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
K. Shi, Z. Jiang, L. Ma, L. Qi and M. Jin, "MTABot: An Efficient Morphable Terrestrial-Aerial Robot With Two Transformable Wheels," in IEEE Robotics and Automation Letters, vol. 9, no. 2, pp. 1875-1882, Feb. 2024, doi: 10.1109/LRA.2024.3349962.
Feng P, Liang J, Wang S, et al. Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks[J]. arXiv preprint arXiv:2407.08164, 2024.
S. Chen, Y. Li, Y. Lou, K. Lin and X. Wu, "Learning Real-Time Dynamic Responsive Gap-Traversing Policy for Quadrotors With Safety-Aware Exploration," in IEEE Transactions on Intelligent Vehicles, vol. 8, no. 3, pp. 2271-2284, March 2023, doi: 10.1109/TIV.
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.
Y. Zhang, R. Zhou, X. Li and G. Sun, "Mean-Shift Shape Formation of Multi-Robot Systems Without Target Assignment," in IEEE Robotics and Automation Letters, vol. 9, no. 2, pp. 1772-1779, Feb. 2024, doi: 10.1109/LRA.2024.3349926.
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
S. Geng, Q. Wang, L. Xie, C. Xu, Y. Cao and F. Gao, "Robo-Centric ESDF: A Fast and Accurate Whole-Body Collision Evaluation Tool for Any-Shape Robotic Planning," 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Detroit, MI,
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
Wang Z, Wan C, Lv X, et al. Multi-UAV online path planning algorithm based on improved Hybrid A[C]//2023 6th International Symposium on Autonomous Systems (ISAS). IEEE, 2023: 1-6.
X. Liu, Z. Wang, J. Li, A. Cangelosi and C. Yang, "Demonstration Learning and Generalization of Robotic Motor Skills Based on Wearable Motion Tracking Sensors," in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-15, 2023, Art no. 2519515
T. Zhang, Z. Liu, Z. Pu and J. Yi, "Multi-Target Encirclement with Collision Avoidance via Deep Reinforcement Learning using Relational Graphs," 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 8794-8800
Gang Chen, Peng Peng, Peihan Zhang, Wei Dong,Risk-aware Trajectory Sampling for Quadrotor Obstacle Avoidance in Dynamic Environments,arxiv,Shanghai Jiao Tong University
Mi Zhang,Songshan Han,Shihan Wang,Xing Liu,Mengyu Hu,Jiayang Zhao,Stereo Visual Inertial Mapping Algorithm for Autonomous Mobile Robot,2020 the 3rd International Conference on Intelligent Robotics and Control Engineering

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Quantity
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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