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Research Interests
My main research interest is in autonomous adaptive intelligent systems which live in the real world and improve their performance by interacting with it. I am interested in both perception and control, but most of all, in the intelligent link between the two.
The focus of my research agenda is the application of machine learning methods to problems in robotics and artificial intelligence. The central and most fascinating question I have been exploring during my graduate studies is how entities internal to the reasoning apparatus of an intelligent system (such as locations, paths, or high-level cognitive concepts) come into existence, when the immediately observable percepts consist only of sensory patterns of external influences (such as light, sound, pressure, temperature, etc.) which have no intrinsic meaning to an organism or a robot. I believe that this question, commonly known in AI as the symbol grounding problem, holds the key to creating truly autonomous intelligent systems and explaining how mind emerges from matter.
I am a graduate of the Robotics PhD Program at Carnegie Mellon and currently work for Mitsubishi Electric Research Labs in Cambridge, Massachusetts.
研究兴趣
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IEEE PES Innovative Smart Grid Technologies Conference - Europepp.1-5, (2023)
2023 AMERICAN CONTROL CONFERENCE, ACC (2023): 710-717
2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)pp.764-767, (2023)
2023 EUROPEAN CONTROL CONFERENCE, ECC (2023): 1-8
Procedia Computer Science (2023): 1027-1032
IFAC PAPERSONLINEno. 2 (2023): 519-524
2023 EUROPEAN CONTROL CONFERENCE, ECC (2023): 1-8
2023 42nd Chinese Control Conference (CCC)pp.8462-8467, (2023)
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2023 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, IROSpp.3672-3679, (2023)
2023 IEEE Power & Energy Society General Meeting (PESGM)pp.1-5, (2023)
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