Events
The Taub Faculty of Computer Science Events and Talks
Oren Salzman - CS-Lecture
Wednesday, 10.01.2018, 10:30
In recent years, robots have played an active role in everyday life:
medical robots assist in complex surgeries, low-cost commercial robots
clean houses and fleets of robots are used to efficiently manage
warehouses. A key challenge in these systems is motion planning, where
we are interested in planning a collision-free path for a robot in an
environment cluttered with obstacles. While the general problem has been
studied for several decades now, these new applications introduce an
abundance of new challenges.
In this talk I will describe some of these challenges as well as
algorithms developed to address them. I will overview general challenges
such as compression and graph-search algorithms in the context of motion
planning. I will show why traditional Computer Science tools are
ill-suited for these problems and introduce alternative algorithms that
leverage the unique characteristics of robot motion planning. In
addition, I will describe domains-specific challenges such as those that
arise when planning for assistive robots and for humanoid robots and
overview algorithms tailored for these specific domains.
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Short Bio:
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Oren Salzman completed a PhD in the School of Computer Science at Tel
Aviv University under the supervision of Prof. Dan Halperin. He is
currently a postdoctoral researcher at Carnegie Mellon University
working with Siddhartha Srinivasa and Maxim Likhachev. His research
focuses on revisiting classical computer science algorithms, tools and
paradigms to address the computational challenges that arise when
planning motions for robots. Combining techniques from diverse domains
such as computational geometry, graph theory and machine learning, he
strives to provide efficient algorithms with rigorous analysis for robot
systems with many degrees of freedom moving in tight quarters. He earned
his BSc with honors from the Technion and his MSc with honors from Tel-
Aviv University.