25 citations · 31 across the 6 of their papers we have counts for
6 papers
CommonUppRoad: A Framework of Formal Modelling, Verifying, Learning, and Visualisation of Autonomous Vehicles
Rong Gu, Kaige Tan, Andreas Holck Høeg-Petersen +2
Combining machine learning and formal methods (FMs) provides a possible solution to overcome the safety issue of autonomous driving (AD) vehicles. However, there are gaps to be bri…
Optimal Gait Control for a Tendon-driven Soft Quadruped Robot by Model-based Reinforcement Learning
Xuezhi Niu, Kaige Tan, Lei Feng
This study presents an innovative approach to optimal gait control for a soft quadruped robot enabled by four Compressible Tendon-driven Soft Actuators (CTSAs). Improving our previ…
Optimal Gait Design for a Soft Quadruped Robot via Multi-fidelity Bayesian Optimization
Kaige Tan, Xuezhi Niu, Qinglei Ji +2
This study focuses on the locomotion capability improvement in a tendon-driven soft quadruped robot through an online adaptive learning approach. Leveraging the inverse kinematics…
Edge computing for cyber-physical systems: A systematic mapping study emphasizing trustworthiness
José Manuel Gaspar Sánchez, Nils Jörgensen, Martin Törngren +6
Edge computing is projected to have profound implications in the coming decades, proposed to provide solutions for applications such as augmented reality, predictive functionalitie…
Finding Critical Scenarios for Automated Driving Systems: A Systematic Literature Review
Xinhai Zhang, Jianbo Tao, Kaige Tan +9
Scenario-based approaches have been receiving a huge amount of attention in research and engineering of automated driving systems. Due to the complexity and uncertainty of the driv…
Non-invasive measuring method of skin temperature based on skin sensitivity index and deep learning
Xiaogang Cheng, Bin Yang, Kaige Tan +5
In human-centered intelligent building, real-time measurements of human thermal comfort play critical roles and supply feedback control signals for building heating, ventilation, a…