Max Robotics — Global Service Robot Directory + US Certification

About

Jens Hagemeyer is a researcher whose work sits at the intersection of reconfigurable computing, embedded vision, and socially intelligent robotics. His key research areas include FPGA-based acceleration for real-time computer vision, multi-robot tracking systems, and the development of ethical, human-aware AI for healthcare robotics. Hagemeyer’s major contributions include pioneering FPGA-accelerated implementations of the Circular Hough Transform combined with graph clustering, enabling efficient, vision-based multi-robot tracking in resource-constrained environments—a topic that has garnered over 20 citations for his 2017 paper alone. He also proposed a novel, resource-efficient Reconfigurable Computer-on-Module (CoM) architecture integrating a Xilinx Zynq SoC with an Adapteva Epiphany accelerator, targeting demanding embedded vision applications. Notably, Hagemeyer contributed to the CASIE project, which explores multilingual, multimodal emotion recognition and ethical decision-making for socially cooperative robots in healthcare settings. His work demonstrates a consistent focus on balancing computational efficiency with real-world applicability, making him a notable figure in the fields of reconfigurable hardware and socially aware autonomous systems.