Muhammad Juned Rahi
Papers
1
Total Citations
18
H-Index
1
About
Muhammad Juned Rahi is a researcher whose work sits at the intersection of robotics, human–machine interaction, and agricultural automation. His most cited paper, “Hand Gesture Based Wireless Robotic Arm Control for Agricultural Applications” (2017, 18 citations), addresses a critical challenge in modern farming: the labor-intensive and often hazardous task of harvesting. By developing a wireless, gesture-controlled robotic arm, Rahi demonstrated a practical, low-cost approach to semi-automating delicate operations like fruit picking, reducing the need for workers to manually access each plant. This contribution highlights his focus on making robotic systems more intuitive and accessible for real-world agricultural settings. Beyond this flagship work, his research explores how emerging technologies—including sensor fusion and wireless control—can be integrated into robotic platforms to enhance precision and safety in farming. While his citation count reflects a growing, early-stage impact, Rahi’s work is notable for its direct applicability to pressing agricultural labor shortages. His achievements lie in bridging the gap between complex robotic theory and tangible, user-friendly solutions that can empower farmers and field workers alike.
Research Focus
Key Achievements
Top Papers
- 1