Mahmoud I. Khalil

Papers

Total Citations

H-Index

About

Mahmoud I. Khalil’s research lies at the intersection of haptic feedback, robotic teleoperation, and human-robot interaction, with a focus on extending human capabilities into inaccessible or hazardous environments. His most cited work, “Sampling of 3DOF Robot Manipulator Joint-Limits for Haptic Feedback” (2019, 4 citations), addresses a critical challenge in teleoperation: enabling intuitive, safe control of robotic proxies by rendering joint-limit constraints as haptic cues. This contribution enhances operator awareness and precision, particularly for tasks requiring dexterous manipulation under physical constraints. Khalil’s approach leverages robotic robustness—scalability, repeatability, and resilience to harsh conditions—to bridge the gap between human intent and robotic action. By tackling joint-limit sampling for haptic feedback, his work supports applications in disaster response, space exploration, and remote surgery, where direct human presence is impractical. Though early in his career, Khalil’s focus on making teleoperation more transparent and responsive marks a meaningful step toward seamless human-robot collaboration. His research underscores the potential of haptics to transform how we interact with remote systems, offering a foundation for future innovations in shared autonomy and immersive control.