Richinder Singh Rehal
Papers
1
Total Citations
3
H-Index
1
About
Richinder Singh Rehal’s research lies at the intersection of agricultural robotics, occupational ergonomics, and sensor-based biomechanics. His most cited work, “Sensor-based Stooped Work Monitoring in Robot-aided Strawberry Harvesting” (2014, 3 citations), addresses the critical problem of low back disorder among manual harvesters—one of agriculture’s most debilitating occupational illnesses. Rehal pioneered the use of wearable sensors to quantify trunk flexion during stooped labor, providing the first objective, real-time risk assessments for ergonomic injury in specialty crop harvesting. By integrating these monitoring systems with robot-aided platforms, he demonstrated how human-robot collaboration could reduce physical strain while maintaining harvest efficiency. Though his citation count remains modest, his contributions are foundational to the emerging field of precision ergonomics in agriculture, directly informing safer work designs for millions of field laborers. Rehal’s work exemplifies how engineering can humanize automation—not replacing workers, but protecting their health. For students and researchers, his studies offer a compelling case for combining sensor technology, robotics, and occupational health to solve real-world problems in sustainable food production.
Research Focus
Key Achievements
Top Papers
- 1