SLAM in the Cloud Robotics

Cloud Robotics is one of the emerging area of robotics. It has created a lot of attention due to its direct practical implications on Robotics. In Cloud Robotics, the concept of cloud computing is used to offload computational extensive jobs of the robots to the cloud. Apart from this, additional functionalities can also be offered on run to the robots on demand. Simultaneous Localization and Mapping (SLAM) is one of the computational intensive algorithm in robotics used by robots for navigation and map building in an unknown environment. Several Cloud based frameworks are proposed specifically to address the problem of SLAM, DAvinCi, Rapyuta and C2TAM are some of those framework. In this book, we proposed a new cloud based framework to implement SLAM problem.

Autorentext

Paresh Sao is serving as a system software R&D engineer in Hewlett Packard Enterprise. He has been working in field of cloud computing, provisioning bare-metals and virtualization technologies. He obtained his B.Tech. in Information Technology from the NIT Raipur, India in 2015. He now resides in Banglore, India.