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Hanlin Wang
Hanlin Wang
Ph.D. in Computer Science, Northwestern University.
在 u.northwestern.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Shape formation in homogeneous swarms using local task swapping
H Wang, M Rubenstein
IEEE Transactions on Robotics 36 (3), 597-612, 2020
772020
Walk, stop, count, and swap: decentralized multi-agent path finding with theoretical guarantees
H Wang, M Rubenstein
IEEE Robotics and Automation Letters 5 (2), 1119-1126, 2020
342020
CPL-SLAM: Efficient and certifiably correct planar graph-based SLAM using the complex number representation
T Fan, H Wang, M Rubenstein, T Murphey
IEEE Transactions on Robotics 36 (6), 1719-1737, 2020
312020
Efficient and guaranteed planar pose graph optimization using the complex number representation
T Fan, H Wang, M Rubenstein, T Murphey
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
112019
Automatic Control Synthesis for Swarm Robots from Formation and Location-based High-level Specifications
J Chen, H Wang, M Rubenstein, H Kress-Gazit
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
92020
Decentralized Localization in Homogeneous Swarms Considering Real-World Non-idealities
H Wang, M Rubenstein
IEEE Robotics and Automation Letters, 2021
42021
A Fast, Accurate, and Scalable Probabilistic Sample-Based Approach for Counting Swarm Size
H Wang, M Rubenstein
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020
42020
Autonomous mobile robot with independent control and externally driven actuation
H Wang, M Rubenstein
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
42016
Generating Goal Configurations for Scalable Shape Formation in Robotic Swarms
H Wang, M Rubenstein
The 15th International Symposium on Distributed Autonomous Robotic Systems, 2021
32021
SwarmTalk-Towards Benchmark Software Suites for Swarm Robotics Platforms
Y Zhang, L Zhang, H Wang, FE Bustamante, M Rubenstein
Proceedings of the 19th International Conference on Autonomous Agents and …, 2020
12020
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