Kaige Tan

KTH Royal Institute of Technology

Sweden

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Articles (8)

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Collaborators (8)

György Dán

Professor at KTH Royal Institute of Technology

KTH Royal Institute of Technology

SWEDEN

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Qinglei Ji

KTH Royal Institute of Technology

SWEDEN

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Tong Liu

KTH Royal Institute of Technology

SWEDEN

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Franz Wotawa

Univ.-Prof.

Graz University of Technology

AUSTRIA

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Lei Feng

KTH Royal Institute of Technology

SWEDEN

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Xin Tao

KTH Royal Institute of Technology

SWEDEN

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Martin Törngren

Professor at KTH Royal Institute of Technology

KTH Royal Institute of Technology

SWEDEN

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Muhammad Rusyadi Ramli

KTH Royal Institute of Technology

SWEDEN

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Kaige Tan

Research Interests

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Contact this professor

Articles (8)

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

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

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

Computationally Efficient Energy Management for a Parallel Hybrid Electric Vehicle Using Adaptive Dynamic Programming

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

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

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

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

Collaborators (8)

György Dán

Qinglei Ji

Tong Liu

Franz Wotawa

Lei Feng

Xin Tao

Martin Törngren

Muhammad Rusyadi Ramli

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