Work & Publications

Please feel free to contact me if you are interested in any of the following works or would like to discuss my professional experience.

Journal Publications

• Nonblocking Modular Supervisory Control of Discrete Event Systems via Reinforcement Learning and K-Means Clustering
  Junjun Yang, Kaige Tan, Lei Feng
  Machines, 2025
  


• Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity Bayesian Optimization
  Kaige Tan, Xuezhi Niu, Qinglei Ji, Lei Feng & Martin Törngren
  Applied Soft Computing, 2024
  


• Computationally Efficient Energy Management for a Parallel Hybrid Electric Vehicle Using Adaptive Dynamic Programming
  Tong Liu, Kaige Tan, Wenyao Zhu & Lei Feng
  IEEE Transactions on Intelligent Vehicles, 2023
  


• Edge-enabled Adaptive Shape Estimation of 3D Printed Soft Actuators with Gaussian Processes and Unscented Kalman Filters
  Kaige Tan, Qinglei Ji, Lei Feng & Martin Törngren
  IEEE Transactions on Industrial Electronics, 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
  


• 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
  Information Sciences, 2023
  


• Critical scenario identification for realistic testing of autonomous driving systems
  Qunying Song, Kaige Tan, Per Runeson & Stefan Persson
  Software Quality Journal, 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 Transactions on Vehicular Technology, 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 and Computer-Integrated Manufacturing, 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 and Automation Letters, 2022
  


• 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 Transactions on Software Engineering, 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 Transactions on Cyber-Physical Systems, 2022
  


• A Contactless Measuring Method of Skin Temperature based on the Skin Sensitivity Index and Deep Learning
  Xiaogang Cheng, Bin Yang, Kaige Tan, Erik Isaksson, Liren Li, Anders Hedman, Thomas Olofsson & Haibo Li
  Applied Sciences, 2019
  

Conference Publications

• Optimal Gait Control for a Tendon-driven Soft Quadruped Robot by Model-based Reinforcement Learning
  Xuezhi Niu*, Kaige Tan*, Didem Gürdür Broo, Lei Feng
  2025 IEEE International Conference on Robotics and Automation (ICRA)
  


• Towards Mitigating Communication Latency Influence in Connected Vehicle Networks by Stochastic Decentralized Model Predictive Control
  Tong Zhao*, Kaige Tan*, Lei Feng
  2025 European Control Conference (ECC)
  


• CommonUppRoad: A Framework of Formal Modelling, Verifying, Learning, and Visualisation of Autonomous Vehicles
  Rong Gu, Kaige Tan, Andreas Holck Høeg-Petersen, Lei Feng, Kim Guldstrand Larsen
  2024 International Symposium on Leveraging Applications of Formal Methods (ISoLA 2024)
  


• Collaborative Collision Avoidance of Connected Vehicles Using ADMM with PI-Regulated Lagrangian Multipliers
  Kaige Tan, Lei Feng & Martin Törngren
  2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
  


• 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
  2023 IEEE/ASME 26th International Conference on Advanced Intelligent Mechatronics (AIM)
  


• 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
  2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)
  


• An Industrial Workbench for Test Scenario Identification for Autonomous Driving Software
  Qunying Song, Kaige Tan, Per Runeson & Stefan Persson
  2021 IEEE International Conference on Artificial Intelligence Testing (AITest)
  

Theses

• Optimal Control and Coordination of Autonomous Intelligent Systems by Edge Computing
  Kaige Tan
  Ph.D. Thesis, KTH Royal Institute of Technology, Stockholm, Sweden, 2025
  


• Building Verification Database and Extracting Critical Scenarios for Self-driving Car Testing on Virtual Platform
  Kaige Tan
  M.Sc. Thesis, KTH Royal Institute of Technology, Stockholm, Sweden, 2019