Papers
53
Total Citations
2,060
H-Index
22
About
Girish Chowdhary is a leading researcher at the intersection of robotics, artificial intelligence, and agriculture, pioneering the development of intelligent autonomous systems for digital farming. His work focuses on creating robots that can operate reliably in the unstructured, challenging environments of agricultural fields, addressing critical labor shortages and sustainability challenges. Chowdhary’s major contributions include advancing under-canopy navigation for lightweight ground robots using LiDAR and self-supervised learning, as demonstrated by his highly cited work on WayFAST (62 citations). He has also been instrumental in applying Gaussian processes for learning and control, providing foundational tutorials (116 citations) that bridge theory and practice in adaptive robotics. His research extends to soft robotics for agroforestry (71 citations) and multi-robot coordination for weeding (58 citations), showcasing a holistic approach to agricultural automation. With over 520 citations for his seminal 2018 perspective on digital farming, Chowdhary’s work has profoundly shaped the field, earning him recognition as a visionary in agricultural robotics and a key figure in the movement toward sustainable, data-driven farming.
Research Focus
Key Achievements
Top Papers
- 1
- 2Agricultural robotics research applicable to poultry production: A review189 citations · 2020
- 3Gaussian Processes for Learning and Control: A Tutorial with Examples116 citations · 2018
- 4Under canopy light detection and ranging‐based autonomous navigation99 citations · 2018
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- 7
- 8Proactive Anomaly Detection for Robot Navigation With Multi-Sensor Fusion64 citations · 2022
- 9WayFAST: Navigation With Predictive Traversability in the Field62 citations · 2022
- 10Agbots: Weeding a field with a team of autonomous robots58 citations · 2019