Dr Ayodeji Abioye

I am a Lecturer in Artificial Intelligence at the School of Computing and Communications. My research focuses on developing efficient and trustworthy AI and machine learning algorithms to enhance the performance of diverse robots working alongside humans in dynamic and complex environments. I have a multidisciplinary background in electronics engineering, software development, mechatronics, human-robot interaction, human factors, and aerial robotics.

Research

My current research focuses on Multi-Human Multi-Robot (MHMR) interaction, with particular emphasis on developing efficient, trustworthy, and socially aware AI and machine learning algorithms to enable heterogeneous robot swarms, consisting of aerial and ground robots, to operate safely and adaptively in dynamic, human-populated environments. I currently lead a pump-priming project titled "Safe and Socially Aware UAV Navigation in Co-Located Human Spaces Using Reinforcement Learning," which investigates real-time learning strategies for autonomous aerial robots navigating around people in shared environments. I am also Co-PI on the RAi UK Coordinating Keystone project "Embodied AI in Social Spaces: Responsible and Adaptive Robots in Complex Settings," which explores responsible human-robot collaboration in real-world social and care settings, where I lead the research on "Safe and Socially Aware Multi-Robot Coordination in Multi-Human Social Care Settings." These projects build on my expertise in Human-Swarm Interaction. My goal is to create adaptive and socially compatible robotic systems that can seamlessly co-exist with humans in various public, domestic, and work environments.

Teaching

TM258 - Introduction to machine learning and artificial intelligence

TM110 - Computing fundamentals 1: concepts and Python programming

TM129 - Technologies in practice