Max Robotics — Global Service Robot Directory + US Certification

About

Mubbashar Altaf Khan is a leading researcher in the field of **human-robot collaboration (HRC)**, with a specific focus on the cognitive and trust-based dynamics that enable effective teamwork between humans and autonomous systems. His work addresses a critical challenge in modern robotics: how to design robots that can adapt their autonomy and earn human trust in real-time. In his most cited work (22 citations), Khan introduced a novel time-variant model for **human cognitive performance** within HRC frameworks, providing a mathematical foundation for predicting how cognitive load affects collaborative actions. He further advanced the field with a **learning-based adjustable autonomy framework** (14 citations), where robots use reinforcement learning guided by human rewards to dynamically shift their autonomy levels in unknown workspaces. Khan’s influential **performance-aware trust models** (13 and 5 citations) mathematically quantify the bidirectional relationship between human operator performance and trust in robotic teammates, extending these models to multi-robot settings. His contributions are pivotal for developing safe, adaptive, and trustworthy collaborative robots, with direct applications in manufacturing, healthcare, and assistive technologies.