About Us
Multi disciplinary research framework for theoretical and applied research of Robotics; Geographic information algorithm systems and Facility Location Expert Systems. Founded in 2008 the laboratory is new at Ariel University Center (Comp. Science, Industrial Eng.) and headed by Dr. Nir Shvalb and Dr. Boaz Ben Moshe
The laboratory is well equipped, and is supported with an electrical engineer, a mechanical engineer and a computer engineer.
Robotics is the science and technology of robots, their design, manufacture, and application Robotics requires a working knowledge of electronics, mechanics and software, and is usually accompanied by a large working knowledge of many subjects such as kinematics and computational geometry. KCG laboratory current applied research issues are:
Micro robots for medical use.
Micro motors.
Walking robots.
Computational geometry is the study of efficient algorithms to solve geometric problems. The methodologies of computational geometry allow one to design and analyze algorithms for the efficient solution of numerous geometric problems that arise in application areas such as manufacturing, computer-aided design, robotics, computer vision, graphics, and cartography.
Theoretical work in Computational Geometry Optimization focus on optimization problems, and devising efficient geometric data structures and algorithms for input models tailored to real-world data. These Data structures and algorithms are often used in a wide range of more applicable fields such as: Computer Graphics, GIS, manufacturing processes, layout of VLSI circuits, Computational Molecular Biology, and Robotics, specifically:
Facility Location: algorithms and heuristics for wireless networks layout design
Terrain Simplification: using combinatorial and DIP methods
Computing shortest path on terrains: Robot Motion Planning
