Dr. Vadim Tikhanoff currently holds a Scientist/Technologist position at the IIT working in the iCub Facility. He possesses a solid background in human-machine interaction and extensive experience in real time computer vision, machine learning technologies and developing robust state-of-the-art software solutions and architectures. He graduated in Computer Science at the University of Essex, UK (2004), presenting a study based on Artificial Intelligence and in particular Multi-Agent Systems. In 2005 he accomplished his MSc in Interactive Intelligent Systems and attained his PhD (2009) on the Development of Cognitive Capabilities in Humanoid Robots, at the University of Plymouth, UK, within the Adaptive Behaviour and Cognition Research Lab. He was postdoctoral researcher at the IIT in the Robotics, Brain and Cognitive Sciences laboratory and then the iCub Facility. Vadim has authored numerous papers published in renown international conferences as well as international journals and book chapters, in areas ranging across neural networks, language acquisition, cognitive systems and image processing. He has participated in several EU-funded projects including iTALK, eMorph, Xperience, POETICON and POETICON++. He served as Program Chair and program committee of various conferences and was guest Associate Editor of the Humanoid Robotics code topic of the Frontiers in Robotics and AI.
In general terms, my background falls practically at the intersection of the fields of Robotic Systems, in particular humanoid robots, and Artificial Intelligence. My main research focuses on the development of innovative techniques and approaches for the design of skills in a robot, in order to interact with the surrounding physical world and manipulate objects in an adaptive, productive and efficient manner. In particular develop a cognitive architecture which would allow a humanoid robot to develop improved exploratory visual competencies that are associated with refined motor controls and conversational interaction. More specifically, my research has been focusing on fully instantiated systems integrating perception and learning, capable of interacting and communicating in the virtual and the real world and perform goal directed tasks. Such an architecture will allow the robot to effectively work in unstructured environments, cooperate and assist humans in their daily chores.
In the past few years my research has focused on the iCub platform basing it on the above concepts in order to maximise the impact of my work to the scientific community. My main contributions can be divided in 3 main streams such as computer vision (Perception), Cognitive Architectures (Learning effects of actions) and Software Engineering and System Integration