Human Senses Mimicking: Data-Driven Structural-Dynamics-Based Fault and Anomaly Diagnostic Autonomous systems are expected to revolutionize vehicle industries, from automotive and commercial vehicles to agricultural machinery. This shift will contribute to...
Reinforcement learning for multi-agent systems under semantic and perceptual uncertainties Multi-agent collaborative tasks for autonomous agents such as search and rescue tasks often take place in environments where properties and dynamics of the environment are...
Modeling, control, and optimization of thermotronic systems The project started with a comprehensive exploration of turbocharger performance modeling, focusing on both the compressor and turbine sides. The initial phase aims to develop a solid understanding of how...
Autonomous farming: Estimation and control Copyright Väderstad. Climate change, population growth, and the urgent need to preserve biodiversity present major challenges for the future of food production. Agriculture is central when addressing these issues. One...
Collaborative decision-making in uncertain scenarios Our research initiative aims to tackle challenges in multi-agent decision-making under uncertainty, with a focus on mission-critical scenarios. We will investigate how autonomous systems can effectively collaborate...
