Giảng viên cơ hữu
Ảnh của Kuo-Shih Tseng
Giáo sư

Kuo-Shih Tseng

Lĩnh vực nghiên cứu

  • Robotic search
  • Human behavior analysis
  • Reinforcement learning
  • Artificial intelligence

Học vấn

Ph.D., University of Minnesota

Kinh nghiệm

2022/8 ~ Associate Professor, National Central University
2018/8 ~ 2022/7 Assistant professor, National Central University
2013/1 ~ 2016/8 Research/Teaching assistant, University of Minnesota
2006/9 ~ 2006/12 Visiting scientist, CSAIL, Massachusetts Institute of Technology
2005/1 ~ 2009/5 Associate researcher, Intelligent robotics technology division, Industrial Technology Research Institute (ITRI)

Vinh danh

研究(Research):

  • 115年優良論文貢獻獎, 2026.
  • 115年理學院研究優良獎, 2026.
  • 114年拔尖論文貢獻獎, 2025.
  • 114年理學院研究優良獎, 2025.
  • 理學院頂尖期刊獎勵, 2022.
  • 台灣創新技術博覽會發明競賽 鉑金獎 (Top 14 of 520 inventions), 2022.
  • 台灣創新技術博覽會發明競賽 銀牌, 2021.
  • 理學院頂尖期刊獎勵, 2020.
  • 中央大學新聘傑出教研人員, 2018~2021.
  • 明尼蘇達大學醫學院獎助學金, 2014.
  • 工研院優質專利獎, 2011.
  • 菁英計畫-赴美國麻省理工國際合作, 2006.

教學(Teaching):

  • 110學年理學院教學優良獎, 2021.
  • 工研院桂冠講師, 2008.

服務(Service):

  • 中央大學服務優良獎, 2023.
  • 109學年度優良專項輔導導師獎(服務學習), 2020.

其他(Others):

  • 中原大學機械系傑出系友, 2025.
  • 弘文高中傑出校友, 2026.

Công trình công bố

A. International Journal Paper

0. Ci-Heng Liao and Kuo-Shih Tseng, “ ….. ," (submit to IEEE RA-L).

0. Yan-Shuo Li and Kuo-Shih Tseng, “ ….. ," (submit to IEEE TRO).

1. Wei-Hsiang Chiu and Kuo-Shih Tseng, “Informative Path Planning for Unmanned Aerial Vehicles using Cost-Benefit Spanning Tree,” Robotica, 2025.

2. 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.

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

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

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

6. 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.

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

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

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

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

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

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

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

14. 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.

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

16. 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, "Computation-Aware Multi-object Search in 3D Space using Submodular Tree,"   IEEE International Conference on Robotics and Automation (ICRA), 2024.

2. 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.

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: 5, China: 4, R.O.C: 10, Total: 19) 
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. 
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. Kuo-Shih Tseng. Compressed Sensing Apparatus, System and Method for Processing Signals in Set Function.       
R.O.C. Patent: I754921 ,2022-2041.

Platinum award of Taiwan Innotech Expo Invention Contest, 2022.
U.S Patent: 11271587, 2022-2041.            
8. Kuo-Shih Tseng, and Chih-Yuan Chou. Three-Dimensional Environmental Coverage Oriented Motion System and Method.    
R.O.C. Patent:  I732574, 2021-2040.  

Silver award of Taiwan Innotech Expo Invention Contest, 2021.
U.S Patent: 11822331, 2023-2042.         

9. Yu-Chen Chang, Shin-Wei Lu, Yen-Chi Huang, Ze-Jun Chen, and Kuo-Shih Tseng, Device for Adsorption-Based Automatic Cleaning on Non-Flat Surfaces and Its Control Method.

R.O.C. Patent: I862412, 2024-2043.

10. Kuo-Shih Tseng, Device for Set-based Recommendation System and its Method.

R.O.C. Patent: (applying)
U.S Patent: (applying)

11. Bing-Xian Lu, Yu-Chung Tsai and Kuo-Shih Tseng, A Multi-sensor Fusion State Estimation System, 
R.O.C. Patent: M657549, 2024-2034.

12. Yan-Shuo Li, Pao-Te Lin and Kuo-Shih Tseng, A submodular-tree-based planning apparatus and its operating method.

R.O.C. Patent: (applying)
U.S Patent: (applying)



  

歷屆碩士畢業生論文影片:

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

https://youtu.be/WxhBml-A7Sg  

2. Yu-Chung Tsai(蔡予中), “Spatial Search using Submodular Deep Compressed Sensing ,” MS thesis, National Central University, 2020.

https://youtu.be/6BC5upgEBtw 

3. Ji-Jie Wu(吳季潔), “Adaptive Submodular Inverse Reinforcement Learning for Spatial Search and Map Exploration,” MS thesis, National Central University, 2021.

https://youtu.be/HXMTzRVVGRQ 

4. Pao-Te Lin(林寶德), “Maximal Coverage with Routing Constraints using Cross-Entropy Monte Carlo Tree Search,” MS thesis, National Central University, 2022.

https://youtu.be/mbfefRg7-AQ    

5. Hsuan-Chi Chang(張軒旗), “Localizing Complex Terrain for Quadruped Robots using Adaptive Submodularity,” MS thesis, National Central University, 2023.

https://youtu.be/bQns79VVZo8 

6. Wei-Hsiang Chiu(邱韋翔), “Informative Path Planning using Cost-Benefit Spanning Tree,” MS thesis, National Central University, 2023.

https://youtu.be/Q2iIqgURDVI  

7. Rei-Shu Shieh(謝瑞煦), “Map Explorations via Dynamic Tree-Structured Graph,” MS thesis, National Central University, 2023.

https://youtu.be/--RHK4nsvuw 

8. Yan-Shuo Li(李晏碩), “Multi-robot Search in 3D Environments using Submodularity with Matroid Intersection Constraints,” MS thesis, National Central University, 2024.

https://youtu.be/ahGNY_EDAxw 

9. Ci-Heng Liao(廖啟亨), “Semantic-Aware Informative Path Planning via Submodularity,” MS thesis, National Central University, 2025.

10. Hui-Chan Tsai(蔡惠嬋), “Semantic Active Search System based on Adaptive Subodularity and Large Language Model Priors,” MS thesis, National Central University, 2026.

 

開授課程:

2024 

MA3131 Introduction to Data Science (資料科學導論)

MA5021 Computer Programming and Application (程式語言及其應用)

MA5041 Modern Artificial Intelligence (近代人工智慧)

MA3138 Special Topics in Robotics (機器人專題 II)

 

[導生專區]

曾老師導生約談注意事項 (說明文件)

 

[大學專題生專區]

曾老師寫推薦信注意事項 (說明文件)

數學機器人實驗室網頁: https://w2.math.ncu.edu.tw/about/aimakerlab 

 

[研究生專區]

搜尋機器人實驗室網頁:  https://sites.google.com/view/robotic-search-lab 

個人網頁:  http://sites.google.com/site/kuoshihtseng/

搜尋機器人實驗室誠徵研究生(應徵說明文件) !  (2026年額滿了!)

 

[關於曾國師老師]

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