Kaige Tan

25 papers A* 1Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2025 A* conf
Optimal Gait Control for a Tendon-Driven Soft Quadruped Robot by Model-Based Reinforcement Learning.
ICRA
Xuezhi Niu, Kaige Tan, Didem Gürdür Broo, Lei Feng
2025 J jnl
Optimal gait design for a soft quadruped robot via multi-fidelity Bayesian optimization.
Appl. Soft Comput.
Kaige Tan, Xuezhi Niu, Qinglei Ji, Lei Feng, Martin Törngren
2025 — conf
Towards Mitigating Communication Latency Influence in Connected Vehicle Networks by Stochastic Decentralized Model Predictive Control.
ECC
Tong Zhao, Kaige Tan, Lei Feng
2024 — conf
An Event-Triggered Control Mechanism to Improve Online Computation Efficiency of Energy Management Strategies for Hybrid Electric Vehicles.
ITSC
Tong Liu, Kaige Tan, Wenyao Zhu, Peigen Chen, Lei Feng
2024 — conf
CommonUppRoad: A Framework of Formal Modelling, Verifying, Learning, and Visualisation of Autonomous Vehicles.
ISoLA (3)
Rong Gu, Kaige Tan, Andreas Holck Høeg-Petersen, Lei Feng, Kim Guldstrand Larsen
2024 J jnl
CommonUppRoad: A Framework of Formal Modelling, Verifying, Learning, and Visualisation of Autonomous Vehicles.
CoRR
Rong Gu, Kaige Tan, Andreas Holck Høeg-Petersen, Lei Feng, Kim Guldstrand Larsen
2024 J jnl
Computationally Efficient Energy Management for a Parallel Hybrid Electric Vehicle Using Adaptive Dynamic Programming.
IEEE Trans. Intell. Veh.
Tong Liu, Kaige Tan, Wenyao Zhu, Lei Feng
2024 J jnl
Edge-Enabled Adaptive Shape Estimation of 3-D Printed Soft Actuators With Gaussian Processes and Unscented Kalman Filters.
IEEE Trans. Ind. Electron.
Kaige Tan, Qinglei Ji, Lei Feng, Martin Törngren
2024 J jnl
Optimal Gait Control for a Tendon-driven Soft Quadruped Robot by Model-based Reinforcement Learning.
CoRR
Xuezhi Niu, Kaige Tan, Lei Feng
2024 J jnl
Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity Bayesian Optimization.
CoRR
Kaige Tan, Xuezhi Niu, Qinglei Ji, Lei Feng, Martin Törngren
2023 J jnl
A model-based deep reinforcement learning approach to the nonblocking coordination of modular supervisors of discrete event systems.
Inf. Sci.
Junjun Yang, Kaige Tan, Lei Feng, ZhiWu Li
2023 — conf
Collaborative Collision Avoidance of Connected Vehicles Using ADMM with PI-Regulated Lagrangian Multipliers.
CASE
Kaige Tan, Lei Feng, Martin Törngren
2023 J jnl
Critical scenario identification for realistic testing of autonomous driving systems.
Softw. Qual. J.
Qunying Song, Kaige Tan, Per Runeson, Stefan Persson
2023 J jnl
Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study.
IEEE Trans. Software Eng.
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
2023 — conf
Optimal and Adaptive Engine Switch Control for a Parallel Hybrid Electric Vehicle Using a Computationally Efficient Actor-Critic Method.
AIM
Tong Liu, Kaige Tan, Wenyao Zhu, Lei Feng
2023 J jnl
Reducing the Learning Time of Reinforcement Learning for the Supervisory Control of Discrete Event Systems.
IEEE Access
Junjun Yang, Kaige Tan, Lei Feng, Ahmed M. El-Sherbeeny, ZhiWu Li
2022 — conf
A Low-Complexity and High-Performance Energy Management Strategy of a Hybrid Electric Vehicle by Model Approximation.
CASE
Tong Liu, Wenyao Zhu, Kaige Tan, Mingwei Liu, Lei Feng
2022 J jnl
Decentralized Convex Optimization for Joint Task Offloading and Resource Allocation of Vehicular Edge Computing Systems.
IEEE Trans. Veh. Technol.
Kaige Tan, Lei Feng, György Dán, Martin Törngren
2022 J jnl
Edge Computing for Cyber-physical Systems: A Systematic Mapping Study Emphasizing Trustworthiness.
ACM Trans. Cyber Phys. Syst.
José Manuel Gaspar Sánchez, Nils Jörgensen, Martin Törngren, Rafia Inam, Andrii Berezovskyi, Lei Feng, Elena Fersman, Muhammad Rusyadi Ramli, Kaige Tan
2022 J jnl
Shape Estimation of a 3D Printed Soft Sensor Using Multi-Hypothesis Extended Kalman Filter.
IEEE Robotics Autom. Lett.
Kaige Tan, Qinglei Ji, Lei Feng, Martin Törngren
2022 J jnl
Synthesizing the optimal gait of a quadruped robot with soft actuators using deep reinforcement learning.
Robotics Comput. Integr. Manuf.
Qinglei Ji, Shuo Fu, Kaige Tan, Seshagopalan Thorapalli Muralidharan, Karin Lagrelius, David Danelia, Georgios Andrikopoulos, Xi Vincent Wang, Lihui Wang, Lei Feng
2021 — conf
An Industrial Workbench for Test Scenario Identification for Autonomous Driving Software.
AITest
Qunying Song, Kaige Tan, Per Runeson, Stefan Persson
2021 J jnl
Edge computing for cyber-physical systems: A systematic mapping study emphasizing trustworthiness.
CoRR
José Manuel Gaspar Sánchez, Nils Jörgensen, Martin Törngren, Rafia Inam, Andrii Berezovskyi, Lei Feng, Elena Fersman, Muhammad Rusyadi Ramli, Kaige Tan
2021 J jnl
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review.
CoRR
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
2018 J jnl
Non-invasive measuring method of skin temperature based on skin sensitivity index and deep learning.
CoRR
Xiaogang Cheng, Bin Yang, Kaige Tan, Erik Isaksson, Liren Li, Anders Hedman, Thomas Olofsson, Haibo Li