Muhammad Tufail Khan

University of Engineering and Technology Peshawar

Papers

Total Citations

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About

Muhammad Tufail Khan is a robotics researcher whose work sits at the intersection of agricultural automation and intelligent manipulation. His primary research areas include the design of soft and compliant robotic grippers, control systems for agricultural robotics, and human-robot interaction for harvesting tasks. Khan’s most notable contribution is his pioneering work on a robotic gripper specifically engineered for orange harvesting, detailed in his 2019 paper, which has garnered 14 citations. This research directly addresses the pressing challenges of high labor costs and fruit perishability in manual harvesting by introducing a compliant control mechanism that allows the gripper to adapt to the delicate geometry of citrus fruit without causing damage. By focusing on the nuanced requirements of fruit picking—where force, dexterity, and gentleness must coexist—Khan has laid foundational groundwork for more efficient, automated agricultural systems. His work stands out for its practical, problem-driven approach, offering a tangible step toward reducing post-harvest waste and labor dependency in the fruit industry. For students and researchers in agricultural robotics, Khan’s research exemplifies how careful mechanical design paired with intelligent control can solve real-world agricultural bottlenecks.