Open Access
Issue |
JNWPU
Volume 42, Number 5, October 2024
|
|
---|---|---|
Page(s) | 929 - 938 | |
DOI | https://doi.org/10.1051/jnwpu/20244250929 | |
Published online | 06 December 2024 |
- YAMASHITA A, ARAI T, OTA J, et al. Motion planning of multiple mobile robots for cooperative manipulation and transportation[J]. IEEE Trans on Robotics and Automation, 2003, 19(2): 223–237. [Article] [CrossRef] [Google Scholar]
- JOSE K, PRATIHAR D K. Task allocation and collision-free path planning of centralized multi-robots system for industrial plant inspection using heuristic methods[J]. Robotics & Autonomous Systems, 2016, 80: 34–42 [CrossRef] [Google Scholar]
- GUO Hao. Intelligent warehousing improves warehousing logistics[J]. China Storage & Transport, 2017(3): 71 (in Chinese) [Google Scholar]
- ENRIGHT J J, WURMAN P R. Optimization and coordinated autonomy in mobile fulfillment systems[C]//Workshops at the twenty-fifth AAAI Conference on Artificial Intelligence, 2011: 33–38 [Google Scholar]
- LUO Xuedong. Multi-robot path planning and scheduling for intelligent warehouse[D]. Chongqing: Chongqing Post and Communications University, 2022 (in Chinese) [Google Scholar]
- GERKEY P, MATARID J. A formal analysis and taxonomy of task allocation in multi-robot systems[J]. The International Journal of Robotics Research, 2004, 23(9): 939–954. [Article] [CrossRef] [Google Scholar]
- SKALTSIS G M, SHIN H S, TSOURDOS A. A survey of task allocation techniques in MAS[C]//2021 International Conference on Unmanned Aircraft Systems, 2021: 488–497 [Google Scholar]
- LIU Shuhua, ZHANG Yu, WU Hongyan, et al. Multi-robot task allocation based on swarm intelligence[J]. Journal of Jilin University, 2010, 40(1): 123–129 (in Chinese) [Google Scholar]
- ZHANG Ziyin, CHEN Yunfei, WANG Yuhua, et al. Multi-robot task allocation algorithm based on heuristically accelerated deep Q network[J]. Journal of Harbin Engineering University, 2022, 43(6): 857–864 (in Chinese) [Google Scholar]
- SULLIVAN N, GRAINGER S, CAZZOLATO B. Sequential single-item auction improvements for heterogeneous multi-robot routing[J]. Robotics and Autonomous Systems, 2019, 115(8): 130–142 [CrossRef] [Google Scholar]
- ALMADHOUN R, TAHA T, SENEVIRATNE L, et al. A survey on multi-robot coverage path planning for model reconstruction and mapping[J]. SN Applied Sciences, 2019, 1(8): 1–24 [Google Scholar]
- ALSHAMMREI S, BOUBAKER S, KOLSI L. Improved Dijkstra algorithm for mobile robot path planning and obstacle avoidance[J]. Computers, Materials and Continua, 2022, 72: 5939–5954. [Article] [CrossRef] [Google Scholar]
- QI J, YANG H, SUN H. MOD-RRT*: a sampling-based algorithm for robot path planning in dynamic environment[J]. IEEE Trans on Industrial Electronics, 2020, 68(8): 7244–7251 [Google Scholar]
- WANG Jingdong. Path planning for an indoor robot with optimized floyd algorithm-based[D]. Xi'an: Northwest Agriculture and Forestry University, 2015 (in Chinese) [Google Scholar]
- OH K K, PARK M C, AHN H S. A survey of multi-agent formation control[J]. Automatica, 2015, 53: 424–440. [Article] [Google Scholar]
- HAN T, GUAN Z H, CHI M, et al. Multi-formation control of nonlinear leader-following multi-agent systems[J]. ISA Transactions, 2017, 69: 140–147. [Article] [CrossRef] [Google Scholar]
- LEE G, CHWA D. Decentralized behavior-based formation control of multiple robots considering obstacle avoidance[J]. Intelligent Service Robotics, 2018, 11: 127–138. [Article] [CrossRef] [Google Scholar]
- LEWIS M A, TAN K H. High precision formation control of mobile robots using virtual structures[J]. Autonomous Robots, 1997, 4(4): 387–403. [Article] [CrossRef] [Google Scholar]
- ZHANG Zhongwei, GAO Zengen, WANG Jingrui, et al. Review and development trend analysis of distributed AGV scheduling[J]. Manufacturing Technology & Machine Tool, 2024, 74(5): 1–10 (in Chinese) [Google Scholar]
- SHI Y, HU B, HUANG R. Task allocation and path planning of many robots with motion uncertainty in a warehouse environment[C]//IEEE International Conference on Real-time Computing and Robotics, 2021: 776–781 [Google Scholar]
- RYU K, DANTANARAYANA L, FURUKAWA T, et al. Grid-based scan-to-map matching for accurate 2D map building[J]. Advanced Robotics, 2016, 30(7): 431–448. [Article] [CrossRef] [Google Scholar]
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