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Journal Articles
- 2024
[j13]Pao-Te Lin, Kuo-Shih Tseng
:
Maximal coverage problems with routing constraints using cross-entropy Monte Carlo tree search. Auton. Robots 48(1): 3 (2024)- [j12]Rei-Shu Shieh, Kuo-Shih Tseng:
Map Explorations via Dynamic Tree Structured Graph. IEEE Robotics Autom. Lett. 9(6): 5062-5069 (2024) - 2023
- [j11]Ji-Jie Wu, Kuo-Shih Tseng:
Correction to: Adaptive submodular inverse reinforcement learning for spatial search and map exploration. Auton. Robots 47(3): 337 (2023) - [j10]Pao-Te Lin, Kuo-Shih Tseng:
Improvement of Submodular Maximization Problems With Routing Constraints via Submodularity and Fourier Sparsity. IEEE Robotics Autom. Lett. 8(4): 1927-1934 (2023) - 2022
- [j9]Ji-Jie Wu, Kuo-Shih Tseng:
Adaptive submodular inverse reinforcement learning for spatial search and map exploration. Auton. Robots 46(2): 321-347 (2022) - [j8]Bing-Xian Lu, Kuo-Shih Tseng:
3D Map Exploration Using Topological Fourier Sparse Set. J. Intell. Robotic Syst. 104(4): 75 (2022) - [j7]Bing-Xian Lu, Yu-Chung Tsai, Kuo-Shih Tseng:
People search via deep compressed sensing techniques. Robotica 40(7): 2320-2348 (2022) - 2021
- [j6]Kuo-Shih Tseng:
Transfer learning of coverage functions via invariant properties in the fourier domain. Auton. Robots 45(4): 519-542 (2021) - 2020
- [j5]Kuo-Shih Tseng, Bérénice Mettler:
Analysis and Augmentation of Human Performance on Telerobotic Search Problems. IEEE Access 8: 56590-56606 (2020) - [j4]Yu-Chung Tsai, Kuo-Shih Tseng:
Deep Compressed Sensing for Learning Submodular Functions. Sensors 20(9): 2591 (2020) - 2018
- [j3]Kuo-Shih Tseng, Bérénice Mettler:
Near-optimal probabilistic search using spatial Fourier sparse set. Auton. Robots 42(2): 329-351 (2018) - 2017
- [j2]Kuo-Shih Tseng, Bérénice Mettler:
Near-optimal probabilistic search via submodularity and sparse regression. Auton. Robots 41(1): 205-229 (2017) - 2009
- [j1]Kuo-Shih Tseng, Angela Chih-Wei Tang:
Self-Localization and Stream Field Based Partially Observable Moving Object Tracking. EURASIP J. Adv. Signal Process. 2009 (2009)
Conference and Workshop Papers
- 2024
- [c9]Yan-Shuo Li, Kuo-Shih Tseng:
Computation-Aware Multi-object Search in 3D Space using Submodular Tree. ICRA 2024: 5956-5962 - [c8]Yan-Shuo Li, Kuo-Shih Tseng:
Multi-robot Search in a 3D Environment with Intersection System Constraints. ICRA 2024: 5963-5969 - 2022
- [c7]Hsuan-Chi Chang, Kuo-Shih Tseng:
Localizing Complex Terrains through Adaptive Submodularity. SSRR 2022: 138-144 - 2020
- [c6]Bing-Xian Lu, Ji-Jie Wu, Yu-Chung Tsai, Wan-Ting Jiang, Kuo-Shih Tseng:
A Novel Telerobotic Search System using an Unmanned Aerial Vehicle. IRC 2020: 151-155 - [c5]Ji-Jie Wu, Kuo-Shih Tseng:
Learning Spatial Search using Submodular Inverse Reinforcement Learning. SSRR 2020: 7-14 - 2019
- [c4]Yu-Chung Tsai, Bing-Xian Lu, Kuo-Shih Tseng:
Spatial Search via Adaptive Submodularity and Deep Learning. SSRR 2019: 112-113 - 2016
- [c3]Yunhe Shen, Fan Wu, Kuo-Shih Tseng, Ding Ye, John Raymond, Badrinath Konety, Robert M. Sweet:
A Motion Tracking and Sensor Fusion Module for Medical Simulation. MMVR 2016: 363-366 - 2010
- [c2]Kuo-Shih Tseng, Angela Chih-Wei Tang:
Goal-oriented and map-based people tracking using virtual force field. IROS 2010: 3410-3415 - 2008
- [c1]Kuo-Shih Tseng:
A stream field based partially observable moving object tracking algorithm. ICARCV 2008: 1850-1856
Coauthor Index
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