Papers
19
Total Citations
130
H-Index
8
About
Rajmeet Singh is a robotics and artificial intelligence researcher whose work spans agricultural automation, autonomous mobile robotics, and human-robot interaction. His most impactful contributions lie at the intersection of deep learning and robotics, where he has developed pioneering systems for greenhouse automation, including vision-based frameworks for detecting tomato flowers and buds on gantry robots (17 citations) and deep learning-powered strawberry harvesting solutions using mobile robots in digital twin environments (12 citations). His work on robotic pollination using visual servoing addresses the critical global challenge of declining bee populations, demonstrating real-world agricultural relevance. Singh has also made notable contributions to collaborative robotics through his feature-based occupancy map-merging framework for multi-robot SLAM (16 citations), advancing the efficiency of autonomous exploration systems. His earlier foundational work on fuzzy logic-based obstacle avoidance, biped robot dynamic modeling using bond graph approaches, and fault detection in legged robots reflects a strong theoretical grounding in control systems and locomotion. More recently, his research on wearable-sensor-based learning from demonstrations highlights growing expertise in intuitive human-robot collaboration. Collectively, his publications have accumulated over 100 citations, establishing him as a versatile and emerging voice in intelligent robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Feature-Based Occupancy Map-Merging for Collaborative SLAM16 citations · 2023
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- 5Object Detection and Gesture Control of Four-Wheel Mobile Robot10 citations · 2019
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- 9Fault detection, isolation and reconfiguration of a bipedal-legged robot6 citations · 2018
- 10Fuzzy Logic Controller for Obstacle Avoidance of Mobile Robot6 citations · 2018