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His recent research focuses on robot planning and learning under uncertainty and human-robot collaboration. He is currently a professor of computer science at the National University of Singapore (NUS) and the Deputy Director ofNUS Advanced Robotics Center. Show MoreДavid Hsu received BSc in computer science & mathematics from the University of British Columbia, Canada and PhD in computer science from Stanford University, USA. We also describe how Minkowski sums are used to solve problems in an array of applications, and primarily in robotics and automation. We survey results on the structure, complexity, algorithms, and implementation of Minkowski sums in two and three dimensions. At the same time they are an inexhaustible source of intriguing mathematical and computational problems. Minkowski sums constitute a fundamental tool in geometric computing, used in a large variety of domains including motion planning, solid modeling, assembly planning, 3d printing and many more. The Minkowski sum of two sets P and Q in Euclidean space is the result of adding every point (position vector) in P to every point in Q. Talk # 2ДЇrom Piano Movers to Piano Printers: Computing and UsingВ Minkowski Sums In the second part of the talk I'll review recent algorithms that we have developed for multi-robot motion planning, which come with near- or asymptotic-optimality guarantees. In the first part of the talk I'll describe our quest to resolve this (still wide open) problem, and some progress we have made in the context of multi-robot motion planning. We strive to formally determine what makes a motion-planning problem with many degrees of freedom easy or hard. Multi-Robot Motion Planning: The Easy, the Hard and the UnchartedД®arly results in robot motion planning had forecast a bleak future for the field by showing that problems with many degrees of freedom, and in particular those involving fleets of robots, are in tractable.В Then came sampling-based planners, which have been successfully, and often easily, solving a large variety of problems with many degrees of freedom. A major focus of Halperin's work is in research and development of robust geometric software, in collaboration with a group of European universities and research institutes: the CGAL project and library. He is on the editorial board of a couple of journals in computational geometry and robotics. Halperin was the program-committee chair/co-chair of several conferences in computational geometry, algorithms and robotics, including SoCG, ESA, ALENEX, and WAFR. Application areas he is currently interested in include robotics, automated manufacturing, algorithmic motion planning, and 3D printing. Much of his work concerns 'geometric arrangements', which are fundamental constructs underlying the algorithmic solution of geometric problems in a wide variety of domains. Halperin's main field of research is Computational Geometry and Its Applications.

#Swiss made tentacles game full

In 1996 he joined the Department of Computer Science at Tel Aviv University, where he is currently a full professor and for two years was the department chair.

He then spent three years at the Computer Science Robotics Laboratory at Stanford University. in Computer Science from Tel Aviv University.

Educational Material in Robotics and AutomationДan Halperin received his Ph.D.

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