ID-TAC project

Development and implementation of MACHINE LEARNING algorithms for the intelligent management of planning, supply and coordination tasks of the sector’s operational processes.

Improvement in location systems for logistics vehicles through the implementation of advanced technologies based on LIDAR and SENSOR FUSION systems for high-range location in real time

Development of a simultaneous indoor environment mapping module using SLAM and VSLAM algorithms

Research on route algorithms for the generation of trajectories with optimized progress in the face of unforeseen obstacles under D* MODELS for calculating dynamic routes

Research on navigation systems under MESH TECHNOLOGIES (NavMesh) for the development and implementation of an optimal own module adapted to the changing environments typical of the sector.