Research

Research

My main research interests are in Neurorobotics, Computational Neuroscience, Rehabilitation Robotics, Human-Robot Interaction, Evolutionary Robotics, Swarm robotics and Biologically-Inspired Controllers.

My primary research interests are in human-robot interaction, artificial intelligence, planning, machine learning, social interaction, and nonverbal behavior.

My main research interests are intelligent graphical characters, affective agent models, human-robot interaction, and interactive narrative.

I develop new ideas for solving difficult problems in optimization and machine learning, and tries his best to do useful things with those ideas.

Dr. Dragone’s expertise includes robotics, wireless sensor networks and software engineering. He worked in a number of EU IoT projects and led RUBICON (fp7rubicon.cu), building integrated robotic and IoT systems.

My research interests include mechanisms, robotics, mechatronics and their industrial, biomedical and renewable energy application at the macro-, micro- and nano-scales.

My main research interests are Human-Robot Interaction in more detail. She is focusing on teachable robots, social, developmental and cognitive robotics.

I am interested in how ideas from biology can be applied to Robotics and Computer Science. My current research focus is on artificial biochemical networks, evolutionary algorithms, and medical applications.

Programming language design, implementation and analysis for multi-processor platforms.

Interests include development of parallel functional programming languages for HPC, embedded and FPGA systems with a focus on reliability, verification, performance, and application of resource constrained languages for autonomous robotics systems.

My research is undertaken through the Pervasive, Ubiquitous and Mobile Applications (PUMA) Lab, the Intelligent Systems Lab (ISL) and the Robotics Lab which is part of the Edinburgh Centre for Robotics.

Sen Wang

My research focuses on enabling robots and autonomous systems to understand real-world complex environments and achieve persistent autonomy in them, including robotic vision, simultaneous localisation and mapping (SLAM), robot learning, computer vision and machine (deep) learning.