Preity Gupta

Fraunhofer Institute for Material Flow and Logistics

Papers

Total Citations

H-Index

About

Preity Gupta is a leading researcher in the field of human-robot interaction and industrial automation, with a focus on creating safer, more efficient collaborative environments. Her work centers on integrating augmented reality (AR) and heterogeneous fleet management systems to overcome critical safety barriers in warehouses and production systems. In her most-cited paper (16 citations), she introduced a novel safety concept that enables humans and robots to work side-by-side without the need for physical safety fences, a paradigm shift from traditional shutdown protocols. This contribution directly addresses a long-standing industry challenge: enabling flexible, safe human-robot collaboration in dynamic spaces. Gupta also advanced multi-robot mapping for optically guided Automated Guided Vehicles (AGVs), developing a cost-effective method to build floor plans of optical paths—a key enabler for scalable warehouse automation. Her work is notable for its practical impact, bridging the gap between theoretical safety models and real-world industrial deployment. By tackling both safety and mapping challenges, Gupta has positioned herself as a key innovator in the next generation of flexible, human-centric automated systems.