Kuo-Shih Tseng

According to our database, Kuo-Shih Tseng authored at least 22 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Map Explorations via Dynamic Tree Structured Graph.

Rei-Shu Shieh, Kuo-Shih Tseng

IEEE Robotics Autom. Lett., June, 2024

Maximal coverage problems with routing constraints using cross-entropy Monte Carlo tree search.

Pao-Te Lin, Kuo-Shih Tseng

Auton. Robots, January, 2024

Multi-robot Search in a 3D Environment with Intersection System Constraints.

Yan-Shuo Li, Kuo-Shih Tseng

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Computation-Aware Multi-object Search in 3D Space using Submodular Tree.

Yan-Shuo Li, Kuo-Shih Tseng

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Improvement of Submodular Maximization Problems With Routing Constraints via Submodularity and Fourier Sparsity.

Pao-Te Lin, Kuo-Shih Tseng

IEEE Robotics Autom. Lett., April, 2023

Correction to: Adaptive submodular inverse reinforcement learning for spatial search and map exploration.

Ji-Jie Wu, Kuo-Shih Tseng

Auton. Robots, March, 2023

2022

People search via deep compressed sensing techniques.

Bing-Xian Lu, Yu-Chung Tsai, Kuo-Shih Tseng

Robotica, 2022

3D Map Exploration Using Topological Fourier Sparse Set.

Bing-Xian Lu, Kuo-Shih Tseng

J. Intell. Robotic Syst., 2022

Adaptive submodular inverse reinforcement learning for spatial search and map exploration.

Ji-Jie Wu, Kuo-Shih Tseng

Auton. Robots, 2022

Localizing Complex Terrains through Adaptive Submodularity.

Hsuan-Chi Chang, Kuo-Shih Tseng

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2022

2021

Transfer learning of coverage functions via invariant properties in the fourier domain.

Kuo-Shih Tseng

Auton. Robots, 2021

2020

Deep Compressed Sensing for Learning Submodular Functions.

Yu-Chung Tsai, Kuo-Shih Tseng

Sensors, 2020

Analysis and Augmentation of Human Performance on Telerobotic Search Problems.

Kuo-Shih Tseng, Bérénice Mettler

IEEE Access, 2020

Learning Spatial Search using Submodular Inverse Reinforcement Learning.

Ji-Jie Wu, Kuo-Shih Tseng

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2020

A Novel Telerobotic Search System using an Unmanned Aerial Vehicle.

Bing-Xian Lu, Ji-Jie Wu, Yu-Chung Tsai, Wan-Ting Jiang, Kuo-Shih Tseng

Proceedings of the Fourth IEEE International Conference on Robotic Computing, 2020

2019

Spatial Search via Adaptive Submodularity and Deep Learning.

Yu-Chung Tsai, Bing-Xian Lu, Kuo-Shih Tseng

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2019

2018

Near-optimal probabilistic search using spatial Fourier sparse set.

Kuo-Shih Tseng, Bérénice Mettler

Auton. Robots, 2018

2017

Near-optimal probabilistic search via submodularity and sparse regression.

Kuo-Shih Tseng, Bérénice Mettler

Auton. Robots, 2017

2016

A Motion Tracking and Sensor Fusion Module for Medical Simulation.

Yunhe Shen, Fan Wu, Kuo-Shih Tseng, Ding Ye, John Raymond, Badrinath Konety, Robert M. Sweet

Proceedings of the Medicine Meets Virtual Reality 22 - NextMed, 2016

2010

Goal-oriented and map-based people tracking using virtual force field.

Kuo-Shih Tseng, Angela Chih-Wei Tang

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

2009

Self-Localization and Stream Field Based Partially Observable Moving Object Tracking.

Kuo-Shih Tseng, Angela Chih-Wei Tang

EURASIP J. Adv. Signal Process., 2009

2008

A stream field based partially observable moving object tracking algorithm.

Kuo-Shih Tseng

Proceedings of the 10th International Conference on Control, 2008