Max Robotics — Global Service Robot Directory + US Certification

About

Khayyam Masood is a leading researcher in autonomous vehicle systems, with a specialized focus on urban freight robotics. His work centers on the development of the Freight Urban RoBOTic vehicle (FURBOT), an autonomous platform designed for last-mile delivery in dense urban environments. Masood’s major contributions include pioneering obstacle avoidance strategies using velocity profiling for slow-moving autonomous vehicles, addressing the unique challenges of low-speed urban navigation. He has also advanced drive-by-wire system integration and hydraulic pressure-flow control for pallet handling robots, enabling autonomous freight loading and unloading. His research on parking pose generation for car-like robots further enhances autonomous freight collection capabilities. With his most-cited paper, "Simulated Sensor Based Strategies for Obstacle Avoidance Using Velocity Profiling for Autonomous Vehicle FURBOT," garnering 16 citations, and a total of five highly cited works, Masood’s impact is evident in the growing field of autonomous urban logistics. His work bridges critical gaps in sensor-based navigation, hydraulic actuation, and autonomous freight handling, making him a key figure in the transition toward fully autonomous urban delivery systems.