Among the Pixel PTs' unique abilities are:Picking up pallets from any position: There are no restrictions, such as pallets having to be in a specific fixed position or only certain minor variations are permitted.Picking up foil-wrapped pallets: The AI does not recognize foil as an obstacle but as a foil - based on this distinction, the robot can cut through the foil while approaching the pallet and does not have to stop. Conventional AMRs work with laser sensors, which do not allow to distinguish between different types of obstacles.Put-down according to rules: Like a forklift driver, the Pixel PT does not simply place a pallet in a fixed place. However, it considers how the pallets are aligned in the area and maintain defined distances to pallets that have already been placed.Obstacle avoidance: Intelligent perception of the environment allows the Pixel PT to recognize whether an obstacle is a person, a pallet, or another industrial truck and if the obstacle is moving or standing still. Depending on the object and the state of movement, obstacles are handled differently. For instance, a parked forklift would be bypassed on a narrow route, whereas a forthcoming forklift would be given the right of way.

Chair of Robotics, Artificial Intelligence and Embedded Systems at Technical University of Munich (TUM)(Supervisor: Prof. Dr.-Ing. Alois Knoll, Dr. Alexander Lenz)Project: Integration of the Mobile Base for the Robotic Circulating Nurse in Operating Room (AURORA) in a Hospital

Mechatronics and Robotics Lab

Teacher Assistant of Robotic Course

Teacher Assistant of Machine Intelligence Course

Design Engineer - Designing a “check valve and ball assembly” machine that creates an oil channel in the TU5 (Model of an engine) cylinder by CATIA software. This machine was manufactured and used in the production line.

Physics and Math