Shuhuan Wen,∗ Zhe Wang,∗∗ Jian Chen,∗ Luigi Manfredi,∗∗∗ and Yongzheng Tong∗


  1. [1] G. L. Zhang, W. J. Tang, Z. Jing, et al., An overview on the cooperative SLAM problem of multi-robot systems considering communication conditions, Acta Automatica Sinica, 40(10), 2014, 2073–2088.
  2. [2] Y. Shao, M. Zhou, and M. Wang, The impact of the overall structure of cluster network on cluster innovation capability: An Empirical Study Based on Deyang’s equipment manufacturing industry cluster, System Engineering, 2013(5), 2013, 85–91.
  3. [3] Q. Meng, Y. Qi, S. Zhang, et al., Intelligent robot and its development, Journal of Ocean University of China (Natural Science) Natural Science, 34(5), 2004, 831–838.
  4. [4] Z. Lei, J. Fan, Z. Jie, et al., A method for mobile robot SLAM based on modified particle filter, Journal of Chongqing University, 2014.
  5. [5] X. Ning, L. I. Wenbo, and B. Fan, Federal extended kalman particle filtering algorithm, Journal of Projectiles Rockets Missiles & Guidance, 31(2), 2011, 189–188.
  6. [6] C. Peng, Research on indoor robot SLAM based on laser rangefinder, Wuhan University of Science and Technology, 2012, 1–5.
  7. [7] H. Wang, G. Fu, X. Bian, et al. SRCKF based simultaneous localization and mapping of mobile robots, Robot, 35(2), 2013, 200.
  8. [8] H. Shen, Research on multi target-tracking algorithm based on particle filter, Zhejiang University, 2006, 1–6.
  9. [9] T. Kovács, A. Psztor, and Z. Istenes, A multi-robot exploration algorithm based on a static Bluetooth communication chain, Robotics & Autonomous Systems, 59(7–8), 2011, 530–542.
  10. [10] A. Martin and M. R. Emami, Just-in-time cooperative simultaneous localization and mapping: A robust particle filter approach, International Journal of Robotics and Automation, 29(2), 2014, 119–132.
  11. [11] H. C. Lee, S. H. Lee, T. S. Lee, et al., A survey of map merging techniques for cooperative-SLAM, in International Conference on Ubiquitous Robots and Ambient Intelligence (IEEE, 2013), 285–287.
  12. [12] T. Huang, P. Yang, K. Yang, et al., Navigation of mobile robot in unknown environment based on TS Neuro-fuzzy system, International Journal of Robotics and Automation, 30(4), 2015.
  13. [13] S. Saeedi, A. Nagaty, C. Thibault, et al., Perception and navigation for an autonomous quadrotor in GPS-denied environments, International Journal of Robotics and Automation, 31(6), 2016.
  14. [14] S. Saeedi, L. Paull, M. Trentini, et al., Occupancy grid map merging for multiple robot simultaneous localization and mapping, International Journal of Robotics and Automation, 30(2), 149–157, 2015.
  15. [15] L. Carlone, N. M. Kaouk, J. Du, et al., Simultaneous localization and mapping using Rao-Blackwellized particle filters in multi robot systems, Journal of Intelligent & Robotic Systems, 63(2), 2011, 283–307.
  16. [16] F. Pei, X. Wu, and H. Yan, Distributed SLAM system using particle swarm optimized particle filter for mobile robot navigation, in IEEE International Conference on Mechatronics and Automation (IEEE, 2016), 994–999.
  17. [17] Z. Liang and Y. Hao, Adaptive particle filter for self-localization of RoboCup 3D soccer robots, International Journal of Robotics and Automation, 29(3), 2014.
  18. [18] B. Ristic and D. Clark, Particle filter for joint estimation of multi-object dynamic state and multi-sensor bias, in 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (IEEE, 2012), 3877–3880.
  19. [19] P. Wu, Q. Luo, and L. Kong, Cooperative localization of network robot system based on improved MPF, in IEEE International Conference on Information and Automation (IEEE, 2017), 796–800. 234
  20. [20] D. Gu and H. Hu, Target tracking by using particle filter in sensor networks, International Journal of Robotics and Automation, 24(3), 2009, 169–176.
  21. [21] Y. P. Tian and C. L. Liu, Consensus of multi-agent systems with diverse input and communication delays, IEEE Transactions on Automatic Control, 53(9), 2008, 2122–2128.
  22. [22] Z. Wu, Z. Guan, X. Wu, et al., Consensus based formation control and trajectory tracing of multi-agent robot systems, Journal of Intelligent and Robotic Systems, 48(3), 2007, 397– 410.
  23. [23] H. Zhang and Q. Hui, Parallel multiagent coordination optimization algorithm: implementation, evaluation, and applications, IEEE Transactions on Automation Science and Engineering, 14(2), 2017, 984–995.
  24. [24] H. Zhang and Q. Hui, Topological heterogeneity and optimality analysis for multiagent formation, in 2012 IEEE 51st IEEE Conference on Decision and Control (CDC), IEEE, 2012.
  25. [25] H. Zhang, S. R. Mullen, and Q. Hui, White noise disturbance and topological heterogeneity analysis for the hybrid consensus protocol, in 2011 50th IEEE Conference on Decision and Control and European Control Conference, IEEE, 2011.
  26. [26] F. Pei, H. Li, and M. Wu, Distributed unscented marginalized particle filter for simultaneous localization and mapping, Journal of Shanghai Jiao Tong University, 48(7), 2014, 987–992.
  27. [27] J. Qiu and P. Fei, Distributed dynamic target tracking for WSN based on improved particle filter prediction, Computer Measurement & Control, 22(4), 2014.
  28. [28] M. Elhoseny, A. Shehab, and X. Yuan, Optimizing robot path in dynamic environments using genetic algorithm and bezier curve, Journal of Intelligent & Fuzzy Systems, 33(4), 2017, 2305–2316.
  29. [29] C. Chen, B. Wu, X. Tuo, et al., Relay translation policies based on state pruning for ad hoc networks, International Journal of Robotics and Automation, 33(3), 2018.
  30. [30] D. Ramadasan, T. Chateau, and M. Chevaldonne, DCSLAM: A dynamically constrained real-time SLAM, 2015, 105–112.
  31. [31] F.-L. Zhu, Z. Bi, and C. Jun, Parallel optimization and implementation of SLAM algorithm based on particle filter, Journal of Guangdong University of Technology, 2017(2), 2017.
  32. [32] M. A. Vázquez and J. M´ıguez, A robust scheme for distributed particle filtering in wireless sensors networks, Signal Processing, 131, 2017, 190–201.

Important Links:

Go Back