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2020 – today
- 2024
[j10]Kaige Tan
, Qinglei Ji, Lei Feng, Martin Törngren:
Edge-Enabled Adaptive Shape Estimation of 3-D Printed Soft Actuators With Gaussian Processes and Unscented Kalman Filters. IEEE Trans. Ind. Electron. 71(3): 3044-3054 (2024)- [j9]Tong Liu, Kaige Tan, Wenyao Zhu, Lei Feng:
Computationally Efficient Energy Management for a Parallel Hybrid Electric Vehicle Using Adaptive Dynamic Programming. IEEE Trans. Intell. Veh. 9(2): 4085-4099 (2024) - [c5]Rong Gu, Kaige Tan, Andreas Holck Høeg-Petersen, Lei Feng, Kim Guldstrand Larsen:
CommonUppRoad: A Framework of Formal Modelling, Verifying, Learning, and Visualisation of Autonomous Vehicles. ISoLA (3) 2024: 385-404 - [i6]Kaige Tan, Xuezhi Niu, Qinglei Ji, Lei Feng, Martin Törngren:
Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity Bayesian Optimization. CoRR abs/2406.07065 (2024) - [i5]Xuezhi Niu, Kaige Tan, Lei Feng:
Optimal Gait Control for a Tendon-driven Soft Quadruped Robot by Model-based Reinforcement Learning. CoRR abs/2406.07069 (2024) - [i4]Rong Gu, Kaige Tan, Andreas Holck Høeg-Petersen, Lei Feng, Kim Guldstrand Larsen:
CommonUppRoad: A Framework of Formal Modelling, Verifying, Learning, and Visualisation of Autonomous Vehicles. CoRR abs/2408.01093 (2024) - 2023
- [j8]Junjun Yang, Kaige Tan, Lei Feng, Ahmed M. El-Sherbeeny, Zhiwu Li:
Reducing the Learning Time of Reinforcement Learning for the Supervisory Control of Discrete Event Systems. IEEE Access 11: 59840-59853 (2023) - [j7]Junjun Yang, Kaige Tan, Lei Feng, Zhiwu Li:
A model-based deep reinforcement learning approach to the nonblocking coordination of modular supervisors of discrete event systems. Inf. Sci. 630: 305-321 (2023) - [j6]Qunying Song, Kaige Tan, Per Runeson, Stefan Persson:
Critical scenario identification for realistic testing of autonomous driving systems. Softw. Qual. J. 31(2): 441-469 (2023) - [j5]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:
Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study. IEEE Trans. Software Eng. 49(3): 991-1026 (2023) - [c4]Tong Liu, Kaige Tan, Wenyao Zhu, Lei Feng:
Optimal and Adaptive Engine Switch Control for a Parallel Hybrid Electric Vehicle Using a Computationally Efficient Actor-Critic Method. AIM 2023: 416-423 - [c3]Kaige Tan, Lei Feng, Martin Törngren:
Collaborative Collision Avoidance of Connected Vehicles Using ADMM with PI-Regulated Lagrangian Multipliers. CASE 2023: 1-8 - 2022
- [j4]Kaige Tan, Qinglei Ji, Lei Feng, Martin Törngren:
Shape Estimation of a 3D Printed Soft Sensor Using Multi-Hypothesis Extended Kalman Filter. IEEE Robotics Autom. Lett. 7(3): 8383-8390 (2022) - [j3]Qinglei Ji, Shuo Fu, Kaige Tan, Seshagopalan Thorapalli Muralidharan, Karin Lagrelius, David Danelia, Georgios Andrikopoulos, Xi Vincent Wang, Lihui Wang, Lei Feng:
Synthesizing the optimal gait of a quadruped robot with soft actuators using deep reinforcement learning. Robotics Comput. Integr. Manuf. 78: 102382 (2022) - [j2]José Manuel Gaspar Sánchez, Nils Jörgensen, Martin Törngren, Rafia Inam, Andrii Berezovskyi, Lei Feng, Elena Fersman, Muhammad Rusyadi Ramli, Kaige Tan:
Edge Computing for Cyber-physical Systems: A Systematic Mapping Study Emphasizing Trustworthiness. ACM Trans. Cyber Phys. Syst. 6(3): 26:1-26:28 (2022) - [j1]Kaige Tan, Lei Feng, György Dán, Martin Törngren:
Decentralized Convex Optimization for Joint Task Offloading and Resource Allocation of Vehicular Edge Computing Systems. IEEE Trans. Veh. Technol. 71(12): 13226-13241 (2022) - [c2]Tong Liu, Wenyao Zhu, Kaige Tan, Mingwei Liu, Lei Feng:
A Low-Complexity and High-Performance Energy Management Strategy of a Hybrid Electric Vehicle by Model Approximation. CASE 2022: 455-462 - 2021
- [c1]Qunying Song, Kaige Tan, Per Runeson, Stefan Persson:
An Industrial Workbench for Test Scenario Identification for Autonomous Driving Software. AITest 2021: 81-82 - [i3]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:
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review. CoRR abs/2110.08664 (2021) - [i2]José Manuel Gaspar Sánchez, Nils Jörgensen, Martin Törngren, Rafia Inam, Andrii Berezovskyi, Lei Feng, Elena Fersman, Muhammad Rusyadi Ramli, Kaige Tan:
Edge computing for cyber-physical systems: A systematic mapping study emphasizing trustworthiness. CoRR abs/2112.00619 (2021)
2010 – 2019
- 2018
- [i1]Xiaogang Cheng, Bin Yang, Kaige Tan, Erik Isaksson, Liren Li, Anders Hedman, Thomas Olofsson, Haibo Li:
Non-invasive measuring method of skin temperature based on skin sensitivity index and deep learning. CoRR abs/1812.06509 (2018)
Coauthor Index
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