Max Robotics — Global Service Robot Directory + US Certification

About

Arpan Ghosh is a robotics researcher whose work focuses on autonomous navigation, computer vision, and sensor-based coverage algorithms for service robots, particularly in disinfection and multi-storey indoor environments. His major contributions include developing active SLAM-based navigation for disinfecting robots, integrating distance sensors and cameras to ensure safe movement around obstacles. He also pioneered elevator button tracking and localization for multi-storey robot navigation, addressing the challenge of button recognition in confined, partially visible spaces. Ghosh’s research on UV sensor coverage algorithms uses occupancy grid maps to optimize disinfection paths, while his wall-following navigation algorithm enhances robot stability using lidar-derived virtual distance data. With several papers each garnering 2–4 citations, his work is gaining traction in the emerging field of autonomous disinfection robotics, a critical area post-pandemic. Notably, his comparative analysis of missing button recognition methods in elevator panels highlights his systematic approach to solving real-world deployment issues. Ghosh’s contributions are paving the way for more reliable and autonomous service robots in complex indoor environments.