Kaige Tan

According to our database, Kaige Tan authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Edge-Enabled Adaptive Shape Estimation of 3-D Printed Soft Actuators With Gaussian Processes and Unscented Kalman Filters.

Kaige Tan, Qinglei Ji, Lei Feng, Martin Törngren

IEEE Trans. Ind. Electron., March, 2024

2023

Critical scenario identification for realistic testing of autonomous driving systems.

Qunying Song, Kaige Tan, Per Runeson, Stefan Persson

Softw. Qual. J., June, 2023

A model-based deep reinforcement learning approach to the nonblocking coordination of modular supervisors of discrete event systems.

Junjun Yang, Kaige Tan, Lei Feng, Zhiwu Li

Inf. Sci., June, 2023

Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study.

Xinhai Zhang, Jianbo Tao, Kaige Tan, Martin Törngren, José Manuel Gaspar Sánchez, Muhammad Rusyadi Ramli, Xin Tao, Magnus Gyllenhammar, Franz Wotawa, Naveen Mohan, Mihai Nica, Hermann Felbinger

IEEE Trans. Software Eng., March, 2023

Reducing the Learning Time of Reinforcement Learning for the Supervisory Control of Discrete Event Systems.

Junjun Yang, Kaige Tan, Lei Feng, Ahmed M. El-Sherbeeny, Zhiwu Li

IEEE Access, 2023

Collaborative Collision Avoidance of Connected Vehicles Using ADMM with PI-Regulated Lagrangian Multipliers.

Kaige Tan, Lei Feng, Martin Törngren

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

Optimal and Adaptive Engine Switch Control for a Parallel Hybrid Electric Vehicle Using a Computationally Efficient Actor-Critic Method.

Tong Liu, Kaige Tan, Wenyao Zhu, Lei Feng

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2023

2022

Decentralized Convex Optimization for Joint Task Offloading and Resource Allocation of Vehicular Edge Computing Systems.

Kaige Tan, Lei Feng, György Dán, Martin Törngren

IEEE Trans. Veh. Technol., 2022

Edge Computing for Cyber-physical Systems: A Systematic Mapping Study Emphasizing Trustworthiness.

José Manuel Gaspar Sánchez, Nils Jörgensen, Martin Törngren, Rafia Inam, Andrii Berezovskyi, Lei Feng, Elena Fersman, Muhammad Rusyadi Ramli, Kaige Tan

ACM Trans. Cyber Phys. Syst., 2022

Synthesizing the optimal gait of a quadruped robot with soft actuators using deep reinforcement learning.

Qinglei Ji, Shuo Fu, Kaige Tan, Seshagopalan Thorapalli Muralidharan, Karin Lagrelius, David Danelia, Georgios Andrikopoulos, Xi Vincent Wang, Lihui Wang, Lei Feng

Robotics Comput. Integr. Manuf., 2022

Shape Estimation of a 3D Printed Soft Sensor Using Multi-Hypothesis Extended Kalman Filter.

Kaige Tan, Qinglei Ji, Lei Feng, Martin Törngren

IEEE Robotics Autom. Lett., 2022

A Low-Complexity and High-Performance Energy Management Strategy of a Hybrid Electric Vehicle by Model Approximation.

Tong Liu, Wenyao Zhu, Kaige Tan, Mingwei Liu, Lei Feng

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021

Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review.

Xinhai Zhang, Jianbo Tao, Kaige Tan, Martin Törngren, José Manuel Gaspar Sánchez, Muhammad Rusyadi Ramli, Xin Tao, Magnus Gyllenhammar, Franz Wotawa, Naveen Mohan, Mihai Nica, Hermann Felbinger

CoRR, 2021

An Industrial Workbench for Test Scenario Identification for Autonomous Driving Software.

Qunying Song, Kaige Tan, Per Runeson, Stefan Persson

Proceedings of the 2021 IEEE International Conference on Artificial Intelligence Testing, 2021

2018

Non-invasive measuring method of skin temperature based on skin sensitivity index and deep learning.

Xiaogang Cheng, Bin Yang, Kaige Tan, Erik Isaksson, Liren Li, Anders Hedman, Thomas Olofsson, Haibo Li

CoRR, 2018