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Forskningspublikationer Mekatronik

Här listas de 25 senaste publikationerna från Enheten för mekatronik.

[1]
L. Cheng och L. Feng, "Model abstraction for discrete-event systems using a SAT solver," IEEE Access, vol. 11, s. 17334-17347, 2023.
[3]
[4]
M. Parseh, "Pre-crash Motion Planning for Autonomous Vehicles in Unavoidable Collision Scenarios," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-ITM-AVL, 2022:15, 2022.
[5]
J. Chen et al., "A Semantics Modeling Approach Supporting Property Verification based on Satisfiability Modulo Theories," i Syscon 2022 : The 16Th Annual Ieee International Systems Conference (Syscon), 2022.
[7]
T. Nyberg et al., "Evaluating Sequential Reasoning about Hidden Objects in Traffic," i ICCPS '22: Proceedings of the 13th ACM/IEEE International Conference on Cyber-Physical Systems, 2022.
[9]
Q. Ji et al., "Customized protective visors enabled by closed loop controlled 4D printing," Scientific Reports, vol. 12, no. 1, 2022.
[10]
Q. Ji et al., "Development of a 3D Printed Multi-Axial Force Sensor," i Advances in Transdisciplinary Engineering, : IOS Press, 2022.
[11]
V. T. Nikolaidi et al., "EMG Onset and Offset Detection via a Modified Threshold Crossings Algorithm," i 2022 30th Mediterranean Conference On Control And Automation (MED), 2022, s. 1111-1116.
[12]
D. Wang, K. N. Tahmasebi och D. Chen, "Integrated Control of Steering and Braking for Effective Collision Avoidance with Autonomous Emergency Braking in Automated Driving," i Proceedings of the 30th Mediterranean Conference on Control and Automation (MED), 2022.
[13]
J. M. Gaspar Sánchez et al., "Foresee the Unseen : Sequential Reasoning about Hidden Obstacles for Safe Driving," i 2022 IEEE Intelligent Vehicles Symposium (IV), 2022, s. 255-264.
[14]
S. Kaalen et al., "A Stochastic Extension of Stateflow," i ICPE 22: Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering, 2022, s. 211-222.
[15]
[16]
Q. Ji et al., "Synthesizing the optimal gait of a quadruped robot with soft actuators using deep reinforcement learning," Robotics and Computer-Integrated Manufacturing, vol. 78, s. 102382-102382, 2022.
[17]
K. Nazem Tahmasebi och D. Chen, "A Fault Injection Tool for Identifying Faulty Operations of Control Functions in Automated Driving Systems," i New Advances in Dependability of Networks and Systems : Proceedings of the Seventeenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 27 – July 1, 2022, Wrocław, Poland, 2022.
[19]
X. Zhang et al., "Finding Critical Scenarios for Automated Driving Systems: A Systematic Mapping Study," IEEE Transactions on Software Engineering, s. 1-1, 2022.
[20]
P. Su och D. Chen, "Using Fault Injection for the Training of Functions to Detect Soft Errors of DNNs in Automotive Vehicles," i New Advances in Dependability of Networks and Systems, 2022, s. 308-318.
[22]
K. Tan et al., "Shape Estimation of a 3D Printed Soft Sensor Using Multi-Hypothesis Extended Kalman Filter," IEEE Robotics and Automation Letters, vol. 7, no. 3, s. 8383-8390, 2022.
[23]
J. M. Gaspar Sánchez et al., "Edge computing for cyber-physical systems : A Systematic Mapping Study Emphasizing Trustworthiness," ACM Transactions on Cyber-Physical Systems, vol. 6, no. 3, s. 1-28, 2022.
[24]
[25]
J. Ding et al., "Integration of modeling and verification for system model based on KARMA language," i DSM 2021 - Proceedings of the 18th ACM SIGPLAN International Workshop on Domain-Specific Modeling, co-located with SPLASH 2021, 2021, s. 41-50.
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