INLOC Robotics was born on September 2013, although it was definitively constituted on June 2014 on a legal basis, after a clear market need was identified for precise localization of mobile devices working in buried infrastructures. This start-up initiative is being led by two researchers with deep experience in mobile robots localization and navigation subjects: Dr. Josep M. Mirats Tur and Dr. Andreu Corominas Murtra.
INLOC Robotics is currently based in the area of Barcelona, Spain, and it has strong connections to important research centres in the area depending both to the Spanish National Research Council (CSIC) and the Polytechnic University of Catalonia (UPC).
INLOC Robotics is a research oriented SME with a main line of activity focused on providing solutions for accurate localization of mobile robots operating in buried infrastructures, so these infrastructures can be correctly mapped onto existing GIS applications. Therefore, what we offer are particular solutions (in the form of algorithms and, if required, set of sensors and necessary electronics to handle sensor information and feed the developed algorithms) for localization (accurate 3D localization) and autonomous navigation (hence solving the problems of position tracking and path following, including obstacle avoidance).
Our solutions are especially designed for GPS denied environments, although we can as well fuse GPS information in the case it is available. So, although we specialize in buried environments, we are able to provide localization and autonomous navigation solutions in a general case for a mobile robot working in either an outdoor or an indoor environment.
Additionally, INLOC Robotics, as explained in its web, offers a secondary line of work related to solve general automatic control problems, including control algorithms (low or high level control problems) and related electronics if necessary.
INLOC Robotics mainly addresses sectors with buried infrastructures, as water, mining, maritime and road and train infrastructures. We provide added value to already existing inspection infrastructure companies who have inspection platforms adapted for those particular infrastructures but do not have the necessary knowledge to solve the localization and/or the autonomous navigation problems.
Hidden: will only be shown to the 15 simulation stage winners in challenges 2 & 3.