Előd reserched contact-based motion and manipulation planning under uncertianty focusing on contingent planning and environmental constraint exploiation.
In his view, the environment is an essential friend, and a robot sohuld establish contact with it when needed. Contact-exploiting motion implicitly reduces uncertianty by projecting it to a lower-dimentional manifold and producing eacly detactbel contact evetns. He also favors integrating sensing into motion planning but only uncertainty-free sensing should be used to reduce state uncertainty and to keep the respecive planning problem computationally tractable.
Előd finished Advanced Manufacturing Control M.Sc. program in 2014 at the Technical University of Cluj-Napoca. He started his career as a research engineer at the ROCON research group in the optimistic optimization and robot control field. After which, in 2016, he joined the RBO Lab at TU Berlin, working on his Ph.D. in manipulation and grasp planning within the Soma project.
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