I am a research scientist in the field of robotics. The main motivation of my work are robots that autonomously learn how to do useful things without the need for hand-coded programs. Robots with such capability can, for example, collaborate and help us while adapting to changes without the supervision of a robotics expert.
I investigate and propose algorithms that enable robots to learn useful tasks involving complex interactions with the environment. By complex, I mean interactions that cannot be easily described by physics modeling and first-order principles. One example is when a robot must predict what a human partner is doing so that it can generate its own motion to assist him/her. Another example is found on robots that work in the field and must adapt to the environment without human intervention.
The motivation for my research is to deploy robots in new domains that will help us in achieving new goals or fill existing/incoming gaps in our society. Examples are found in the inevitable, unprecedented growth of the elderly population, the assistance of communities and exploration of resources in remote areas, rescue and disaster response, optimized and adaptive rehabilitation and prosthetics, to cite a few.
I am at the ATR Computational Neuroscience Lab in the Department of Brain Robot Interface (BRI). Previously, I was with the Intelligent Autonomous Systems group (IAS) in TU Darmstadt working with Jan Peters and a number of students and postdocs. Between 2013-2017 I led the participation of the IAS group in the European Funded Project 3rd Hand. I received my Ph.D from the Australian Centre for Field Robotics (ACFR) under the supervision of Hugh Durrant-Whyte, Surya Singh, David Rye, and Ian Manchester. Between 2005-2007 I did a masterS at the Tokyo Institute of Technology (TITECH) in control engineering.
You can find my full CV here.