Fahad Khan

Robotics Research (United States), Cranfield University

Papers

Total Citations

H-Index

About

Fahad Khan is a leading researcher in the field of Human-Robot Collaboration (HRC), with a specific focus on designing intuitive, non-verbal communication systems for industrial environments. His work addresses the critical challenge of enabling seamless interaction between humans and collaborative robots, particularly in noisy settings where traditional verbal commands are impractical. Khan’s most-cited paper, a 2025 review on human-robot collaborative systems (17 citations), provides a comprehensive framework for understanding the tasks and challenges in this rapidly evolving domain, highlighting the integration of AI in industrial settings. He further advances the field by designing gesture-based communication protocols for HRC (5 citations) and surveying the communication components essential for human intention prediction (4 citations), a key enabler for cognitive and physical collaboration. Khan’s research is pivotal in bridging the gap between human cognitive processes and robotic action, laying the groundwork for safer, more efficient, and more intuitive industrial automation. His work is essential reading for engineers and researchers aiming to develop next-generation collaborative systems that truly work in harmony with human operators.