Publications

A. International Journal Paper

0. Wei-Hsiang Chiu, Yan-Shuo Li and Kuo-Shih Tseng, “Informative Path Planning using Cost-Benefit Spanning Tree,” (submit to Robotica).

1. Yan-Shuo Li and Kuo-Shih Tseng, “Multi-robot Search in 3D Environments using Submodularity with Matroid Intersection Constraints,” The International Journal of Robotics Research, 2025.

2. Rei-Shu Shieh and Kuo-Shih Tseng, “Map Explorations via Dynamic Tree-Structured Graph,” IEEE Robotics and Automation Letters, 2024

3. Pao-Te Lin and Kuo-Shih Tseng, “Maximal Coverage with Routing Constraints using Cross-Entropy Monte Carlo Tree Search,” Autonomous Robots, 2024.

4. Bing-Xian Lu, Yu-Chung Tsai and  Kuo-Shih Tseng,  “GRVINS: Tightly Coupled GNSS-Range-Visual-Inertial System,” Journal of Intelligent & Robotic Systems, 2023.

5. Pao-Te Lin and Kuo-Shih Tseng,  “Improvement of submodular maximization problems with routing constraints via submodularity and Fourier sparsity,” IEEE Robotics and Automation Letters, 2023.

6. Bing-Xian Lu and Kuo-Shih Tseng*, “3D Map Exploration using Topological Fourier Sparse Set,” Journal of Intelligent & Robotic Systems, 2021.

7. Ji-Jie Wu and Kuo-Shih Tseng*, “Adaptive Submodular Inverse Reinforcement Learning for Spatial Search and Map Exploration,” Autonomous Robots, 2021.

8. Bing-Xian Lu*, Yu-Chung Tsai* and Kuo-Shih Tseng, “People Search via Deep Compressed Sensing Techniques,” Robotica, 2021.

9. Kuo-Shih Tseng, “Transfer Learning of Coverage Functions via Invariant Properties in the Fourier Domain,” Autonomous Robots, 2021.

10. Yu-Chung Tsai and Kuo-Shih Tseng*, “Deep compressed sensing for learning submodular functions,” Sensors, 2020.

11. Kuo-Shih Tseng and Bérénice Mettler*, “Analysis and Augmentation of Human Performance on Telerobotic Search Problems,” IEEE Access, 2020.

12. Kuo-Shih Tseng and Bérénice Mettler*, “Near-Optimal Probabilistic Search using Spatial Fourier Sparse Set,” Autonomous Robots, 2017.

13. Yunhe Shen*, Kuo-Shih Tseng and Fan Wu, “A motion tracking and inertial measurement unit-distance sensor fusion module for medical simulation,” Journal of Medical Devices, Transactions of the ASME, 2016.

14. Kuo-Shih Tseng and Bérénice Mettler*, “Near-Optimal Probabilistic Search via Submodularity and Sparse Regression,” Autonomous Robots, 2015.

15. Kuo-Shih Tseng* and Angela Chih-Wei Tang, “Self-Localization and Stream Field based Partially Observable Moving Object Tracking”, EURASIP Journal on Advances in Signal Processing, Special issue on Robots and Autonomy, Feb. 2009.

B. International Conference Paper 

1. Yan-Shuo Li and Kuo-Shih Tseng, "Multi-robot Search in a 3D Environment with Intersection System Constraints," IEEE International Conference on Robotics and Automation (ICRA), 2024.

2. Yan-Shuo Li and Kuo-Shih Tseng, "Computation-Aware Multi-object Search in 3D Space using Submodular Tree,"   IEEE International Conference on Robotics and Automation (ICRA), 2024.

3. Hsuan-Chi Chang and Kuo-Shih Tseng, “Localizing Complex Terrains through Adaptive Submodularity,” IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2022.

4. Ji-Jie Wu and Kuo-Shih Tseng, “Learning Spatial Search using Submodular Inverse Reinforcement Learning,” IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2020.

5. Bing-Xian Lu and Kuo-Shih Tseng, "3D Map Exploration via Learning Submodular Functions in the Fourier Domain", International Conference on Unmanned Aircraft Systems (ICUAS), 2020.

6. Bing-Xian Lu, Ji-Jie Wu, Yu-Chung Tsai, Wan-Ting Jiang and Kuo-Shih Tseng, "A Novel Telerobotic Search System using an Unmanned Aerial Vehicle," IEEE International Conference on Robotic Computing (IRC), 2020.

7. Yu-Chung Tsai, Bing-Xian Lu and Kuo-Shih Tseng, “Spatial Search via Adaptive Submodularity and Deep Learning,” IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2019.

8. Kuo-Shih Tseng and Bérénice Mettler, “Analysis of Coordination Patterns between Gaze and Control in Human Spatial Search”, 2nd IFAC Conference on Cyber-Physical and Human-Systems, 2018.

9. Kuo-Shih Tseng and Bérénice Mettler, “Human Planning and Coordination in Spatial Search Problems”, 1st IFAC Conference on Cyber-Physical and Human-Systems, 2016.

10. 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,” Medicine Meets Virtual Reality (MMVR), 2016.

11. Kuo-Shih Tseng and Chih-Wei Tang, "Goal-oriented and Map-based People Tracking Using Virtual Force Field," IEEE/RSJ International Conference on Intelligent Robots and System (IROS'10), Taipei, Oct. 2010. 

12. Kuo-Shih Tseng and Chih-Wei Tang, "Stream field based people searching and tracking conditioned on SLAM," IEEE International Conference on Robotics and Automation (ICRA'09) Workshop on People Detection and Tracking, Kobe, May 2009. 

13. Kuo-Shih Tseng, “A Stream field based partially observable moving object tracking algorithm,” 10th IEEE International Conference on Control, Automation, Robotics and Vision (ICARCV’08), Hanoi, Vietnam, Dec. 2008. 

C. Patent (US: 3, China: 4, R.O.C: 7, Total: 14)

1. Syh-Shiuh Yeh, Meng-Chun Chen, Kuo-Shih Tseng and Mao-Feng Tu. Mobile robot platform and method for sensing movement of the same. U.S Patent: No.7747349, 2010-2028. (This patent is awarded as ITRI Highly Cited Patent Award), R.O.C. Patent: No. I290881, 2007-2025., China Patent: No. ZL200510135278.0, 2007-2025.

2. Syh-Shiuh Yeh, Meng-Chun Chen, Kuo-Shih Tseng and Mao-Feng Tu, Yang-Hua Lin. Apparatus for multi-joint lower limb exercise.  R.O.C. Patent: No. I303169, 2008-2025., R.O.C. Patent: No. I295183, 2008-2025.

3. Hung-Hsiu Yu, Kuo-Shih Tseng, Yu-Lun Ho, Mao-Feng Tu and Chun-Hung Liu. Obstacle and cliff avoiding system and method thereof. U.S Patent.: No. 7643906, 2010-2028., R.O.C. Patent: No. I303754, 2008-2026., China Patent: No. ZL200610082846.X, 2006-2026.

4. Chin-Chong Chiang, Chiu-Wang Chen, Kuo-Shih Tseng, Ta-Chih Hung, Yaw-Nan Lee and Fu-Kuang Yeh. Apparatus with surface information displaying and interaction capability. R.O.C. Patent: No. I306051, 2009-2026., China Patent: No. 200610170233.1, 2010-2027.

5. Kuo-Shih Tseng, Chiu-Wan Chen,Yi-Ming Chu, Hung-Hsiu Yu and Wei-Han Wang. Method and device of human robot interaction using tactile sensors. R.O.C. Patent: No. I349870, 2008-2026., China Patent: 200610168683.7, 2008-2026.

6. Kuo-Shih Tseng, Hsiang-Wen Hsieh and Wei-Han Wang. A prediction and alarms of moving objects in the hidden blind spot system and its method.  R.O.C. Patent: No. I314115, 2009-2027., U.S Patent: No. 8044780. 2011-2029.

7. Yunhe Shen, Fan Wu and Kuo-Shih Tseng. Position and orientation tracking within enclosed spaces.  U.S Patent (filed in 2016)

D. Thesis and Dissertation

1. Kuo-Shih Tseng,“Design and Control of Quadruped Robot using Integrated Analog and Digital Circuits,” MS thesis, National Taiwan University, 2004. 

2. Kuo-Shih Tseng, “Learning in Human and Robot Search: Subgoal, Submodularity, and Sparsity,” PhD dissertation, University of Minnesota, 2016.  

3. Bing-Xian Lu, “3D Map Exploration using Topological Fourier Sparse Set ,” MS thesis, National Central University, 2020.

4. Yu-Chung Tsai, “Spatial Search using Submodular Deep Compressed Sensing ,” MS thesis, National Central University, 2020.