Regular biography
Pawel Ladosz is a Lecturer in Engineering Systems for Robotics within the Department of Mechanical and Aerospace Engineering at The University of Manchester. His research focuses on applying machine learning to mobile robots, particularly utilizing vision sensors for tasks such as autonomous landing, wireless signal mapping, and navigation in extreme environments. He is actively seeking PhD students interested in reinforcement learning for robotic swarms and high-level decision-making systems. His work contributes to Sustainable Development Goal 11, promoting sustainable cities and communities.
Scholar-generated biography
Pawel Ladosz is a Lecturer in AI and Robotics at the University of Manchester, specializing in Optimisation, Machine Learning, Reinforcement Learning, Robotics, and UAS. His research focuses on developing advanced algorithms for autonomous systems, particularly in dynamic and complex environments. Key areas include deep reinforcement learning for exploration, communication relay positioning for UAVs, and trajectory planning in urban settings. He also explores Gaussian process-based channel prediction and hybrid learning approaches for improving UAV performance. His work emphasizes the integration of robotics and AI to address real-world challenges in autonomous navigation and communication.