The paper “UWB Propagation Characteristics of Human-to-Robot Communication in Automated Collaborative Warehouse” has been presented on the IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting (https://2020apsursi.org/) that took place online on 6th of June 2020. In it, propagation of UWB Gaussian signal in a model of automated collaborative warehouse is analyzed using ray tracing method. The transmitting antenna is placed on the human body while the received power profiles in warehouse containing empty racks and racks filled with different loads are calculated. This gives rise to estimation of safe communication range between humans and robots.
The paper “Analysis of Safe Ultrawideband Human-Robot Communication in Automated Collaborative Warehouse” has been presented in the poster session of the 14th European Conference on Antennas and Propagation (EuCAP 2020, https://www.eucap2020.org/) held online in period from 1st to 30th of June 2020.It presents the propagation analysis of ultrawideband Gaussian signal in an automated collaborative warehouse environment where human and robots communicate to ensure that mutual collisions do not occur. The warehouse racks are principally modeled as clusters of metallic (PEC) parallelepipeds, with dimensions chosen to approximate the realistic warehouse. The signal propagation is analyzed using a ray tracing software, with the goal to calculate the path loss profile for different representative scenarios and antenna polarizations. The influence of the rack surface roughness onto propagation is also analyzed. The guidelines for optimum antenna positions on humans and robots for safe communication are proposed according to the simulations results.
The paper “Modelling of Ultrawideband Propagation Scenarios for Safe Human-Robot Interaction in Warehouse Environment” has been presented on the 23rd International Conference on Applied Electromagnetics and Communications (ICECom 2019) (http://www.icecom.org/) in Dubrovnik, Croatia, on 1st October 2019. It presents an idealized warehouse environment where human and robots are both present and need to communicate to avoid mutual collisions. The warehouse shelves are modelled as metallic (PEC) parallelepipeds, which is the largest obstacle of practical interest, while for communication an UWB Gaussian signal at 3.994 GHz and 468 MHz width is used. The signal propagation is analyzed using ray tracing software, with the goal to determine the range of communication and the optimum antenna configurations. Several scenarios have been analyzed and discussed. It is found that the major influence on the communication range is exhibited by type of polarization of antennas placed on human and robot, while the optimum range is obtained when all the antennas are vertically polarized.
The article about the research done by researchers from KIT and FER was published at TechXplore and can be found @ https://techxplore.com/news/2018-12-tom-based-human-intention-algorithm-robotized.html