Исследовательские работы
С использованием NOKOV Motion Capture

Liu Y, Yang H, Si X, et al. Taco: Benchmarking generalizable bimanual tool-action-object understanding[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024: 21740-21751.

Li Y, Zhao A, Wang Y, et al. Fact: Fast and active coordinate initialization for vision-based drone swarms[J]. IEEE Robotics and Automation Letters, 2024.

向雅伦,雷小康,段中兴等.基于密度交互的集群机器人自组织垃圾收集算法[J].控制与决策,2024,39(10):3279-3288.DOI:10.13195/j.kzyjc.2022.2213.

Li M, Niu J, Dou Y, et al. 3D-RPP: a novel 3D vision-based Pose Perception Approach for Industrial Robots[C]//Journal of Physics: Conference Series. IOP Publishing, 2022, 2188(1): 012013.

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.

Peng Xu, Jianhua Liu, Bo Liu, Yuanzheng Li, Hao Jin, Zhaoyang Mu, Tangzhen Guan, Guangming Xie, Hao Wang, Minyi Xu,Deep-learning-assisted triboelectric whisker for near field perception and online state estimation of underwater vehicle,Nano Energy,Volume

Y. Liu et al., "Enhancing Generalizable 6D Pose Tracking of an In-Hand Object With Tactile Sensing," in IEEE Robotics and Automation Letters, vol. 9, no. 2, pp. 1106-1113, Feb. 2024, doi: 10.1109/LRA.2023.3337690.

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.

N. Guo et al., "Proprioceptive State Estimation for Amphibious Tactile Sensing," in IEEE Transactions on Robotics, vol. 40, pp. 4684-4698, 2024, doi: 10.1109/TRO.2024.3463509.

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,

J. Tang et al., "ROV6D: 6D Pose Estimation Benchmark Dataset for Underwater Remotely Operated Vehicles," in IEEE Robotics and Automation Letters, vol. 9, no. 1, pp. 65-72, Jan. 2024, doi: 10.1109/LRA.2023.3331624.

Liu Y, Yang H, Si X, et al. Taco: Benchmarking generalizable bimanual tool-action-object understanding[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024: 21740-21751.

Yu, B.; Cheng, Y.; Xia, X.; Liu, P.; Ning, D.; Li, Z. Visual-Inertial Fusion-Based Five-Degree-of-Freedom Motion Measurement System for Vessel-Mounted Cranes. Machines 2024, 12, 748. https://doi.org/10.3390/machines12110748

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

Gang Chen, Peng Peng, Peihan Zhang, Wei Dong，Risk-aware Trajectory Sampling for Quadrotor Obstacle Avoidance in Dynamic Environments，arxiv，Shanghai Jiao Tong University