Dr Ignacio Rano
Lecturer in Cognitive Robotics
- School of Computing & Intelligent Sys
- Research Institute
- Computer Science Research Institute
- Magee campus
- +44 28 7167 5474
Inaki Rano joined the School of Computing and Intelligent Systems in 2013. He holds a MSc in Physics and a PhD in Computer Science and Artificial Intelligence, both from the University of the Basque Country (Spain). He is a fellow of the Higher Education Academy, and the IEEE.
The research works and expertise of Inaki span different areas, including control architectures for mobile robots, machine learning and systems identification techniques applied to robotics, bio-robotics, non-linear control, and non-linear dynamical systems. Before joining the Cognitive Robotics Team of Ulster University, he was with the Robotics and Autonomous Systems Group of the University of the Basque Country (Spain), the Robotics, Perception and Real Time Group of the University of Zaragoza (Spain), and the Cognitive Robotics Group of the Ruhr-University Bochum (Germany). He was Visiting Researcher at the University of Essex and the Ruhr-University Bochum.
Inaki teaches at undergraduate and postgraduate levels, and has delivered courses and seminars, among others, on Robotics, Artificial Intelligence, and Control Theory, at the University of the Basque Country, the University of Zaragoza, and the Ruhr-University Bochum.
Showing 1 to 10 of 16 publications
To view all publications please visit Ulster University Institutional Repository (UIR)
- A biologically inspired controller to solve the coverage problem in roboticsBioinspiration & BiomimeticsDate: (2017)
- A single chip system for sensor data fusion based on a drift-diffusion modelDate: (2017)
- A Drift Diffusion Model of Biological Source Seeking for Mobile RobotsDate: (2017)
- Reliable object handover through tactile force sensing and effort control in the Shadow Robot handDate: (2017)
- A Multi-modal Approach to Continuous Material Identification through Tactile SensingDate: (2016)
- Noise, morphology and control. An analysis of the stochastic behaviour of Braitenberg vehicles.Date: (2015)
- Application of Systems Identification to the Implementation of Motion Camouflage in Mobile RobotsAutonomous RobotsDate: (2015)
- ConfiDe: A neuro-inspired multisensory perceptual decision making model with decision confidenceDate: (2015)
- Biologically Inspired Navigation PrimitivesRobotics and Autonomous SystemsDate: (2014)
- The bio-inspired chaotic robotDate: (2014)