Max Robotics — Global Service Robot Directory + US Certification

About

Benjamin Lewandowski is a robotics and computer vision researcher whose work sits at the intersection of human-robot interaction, social robot navigation, and real-time perception systems. His research is particularly focused on enabling mobile service robots to operate safely and intuitively in human-populated environments such as supermarkets and public spaces. Lewandowski's most significant contributions center on person perception for robotics, including fast and robust methods for 3D person detection, posture estimation, and upper body orientation estimation — all designed to run efficiently on resource-constrained robotic platforms. His 2019 paper on deep orientation estimation has garnered 31 citations, reflecting its impact on socially aware navigation research. Complementing this, his work on socially compliant human-robot interaction for supermarket environments (28 citations) demonstrates a systems-level approach, integrating detection, tracking, and communication into a cohesive robotic pipeline. He has also explored novel human-robot communication mechanisms, including a laser projection system to convey robot intentions, and efficient RGB-D semantic segmentation for richer environmental understanding. More recently, Lewandowski has extended his perception expertise toward ecological applications with a multidisciplinary forest ecosystem dataset. Across his body of work, totaling over 160 citations, he consistently bridges cutting-edge deep learning with practical robotic deployment constraints.