Max Robotics — Global Service Robot Directory + US Certification

About

Shashank Bhatia’s research lies at the intersection of robotics, computer vision, and cognitive science, with a focus on how machines perceive and interact with human environments. His work explores visual attention mechanisms, spatial cognition, and human-robot interaction, aiming to bridge the gap between computational models and human perceptual processes. In his highly cited study on visual gaze analysis of pedestrians in urban spaces (14 citations), Bhatia demonstrated how tracking eye movements can reveal which architectural features most effectively guide human navigation—offering actionable insights for urban design. He further advanced the field by developing a method for segmenting salient objects in 3D point clouds using geodesic distances (9 citations), enabling robots to prioritize relevant visual information in cluttered indoor scenes. His model of heteroassociative memory (5 citations) introduced a novel approach to identifying surprising or salient locations, with applications in robotic exploration, wayfinding, and computational creativity. Bhatia was also a key member of the NUbots, the University of Newcastle’s RoboCup team, which claimed world champion titles in 2006 and 2008. His interdisciplinary work continues to inform how robots perceive, learn from, and navigate human-centered spaces.