MrResul Dagdanov
Graduate Research Student
School of Electrical, Mechanical and Biomedical ENG
- Graduate Research StudentSchool of Electrical, Mechanical and Biomedical ENG
- University of Technology Sydney, Faculty of Engineering and Information Technology, School of Mechanical and Mechatronic Engineering, Robotics Institute, 81 Broadway Street, Sydney, New South Wales, 2007, Australia
FUNDED RESEARCH
His research activities include improving cooperation and synergy in human-robot collaboration (HRC), exploring the dynamics of multiple robots working together in multi-agent environments, utilizing data-driven approaches to optimize the efficiency and effectiveness of robotic systems, advancing the capabilities of autonomous systems, exploring the power of machine learning (ML) algorithms to enable robots to learn from data and adapt to changing conditions, investigating core reinforcement learning (RL) techniques to assist robots to make decisions and take actions in real-world scenarios, developing probabilistic models that capture uncertainties in human-robot interaction (HRI), and exploring ways to ensure the trustworthiness of robotic systems, including safety, and reliability.
Keywords: Human-Centric Robotics, Autonomous Systems, Machine Learning, Robotics, Probabilistic Estimation, Intelligent Decision-Making, Data-Driven Optimization, Human-Robot Collaboration, Deep Reinforcement Learning, Human-Robot Interaction, Human-Autonomy Teaming