Second International Workshop on New Frontiers in Computational Robotics (NFCR ’18)

in conjunction with

The Second IEEE International Conference on Robotic Computing

January 31 - February 2, 2018 - Laguna Hills, CA, USA

Laguna Hills
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Call for Papers

The aim of Computational Robotics is to perform essential research bridging the gap between artificial intelligence and autonomous robotic systems. By applying advanced computational scientific approach, it is expected to realize deeper understanding of human as well as to solve more complicated computational problems for the next generation of robotics.

As a matter of fact, recent advancements in computation have opened doors not only in software, but also in hardware, thus making this one the most ambitious and relevant challenges in robotics. In fact, we know that Computational Robotics is set to shape innovation in the 21st century, underpinning research in a wide range of challenging areas: the ageing population, efficient health care, safer transport, and secure energy. Thus, an entire discipline has emerged devoted to the computational and algorithmic issues arising in robotics. Much of the field of computational has motivation from robotics, leading to a wide variety of algorithmic problems for solving such problems as path planning, camera placement, computer vision, part manipulation, etc. Then, this special session will focus on introducing the area of robotics from a computational point of view, introducing some of the notions of design and analysis of algorithms, using robotics as a motivating application.

Computational Robotics presents many challenges with solutions to address real world challenges to improve quality of life. Thus, this organized special issue will focus on computational approaches and methodologies applied to address challenging problems coming from collecting robotic information.

We are interested in original ideas and unpublished contributions from different areas of robotics and intelligent systems describing novel nature-inspired computational methodologies and drawing on rigorous quantitative approaches across computer science, mathematics, physics, life sciences and etc. System design, works in progress, and simulations are also welcome, as long as they meet the guidelines of the session.

The topics include but are not limited to :