Abhisesh Silwal
Papers
14
Total Citations
621
H-Index
8
About
Abhisesh Silwal is a pioneering roboticist whose research sits at the intersection of agricultural automation, robot perception, and machine learning. Best known for his groundbreaking work on robotic harvesting systems, Silwal has dedicated his career to solving one of agriculture's most pressing challenges: replacing scarce and costly human labor with intelligent machines capable of operating in complex, unstructured environments. His landmark paper "Design, Integration, and Field Evaluation of a Robotic Apple Harvester" (2017, 387 citations) stands as one of the most influential contributions to agricultural robotics, demonstrating a fully functional system capable of harvesting fresh-market apples — a problem that had eluded researchers for four decades. Building on this foundation, he has extended his expertise to vine pruning automation through projects like Bumblebee, tree structure reconstruction, and semantics-guided skeletonization for robotic manipulation. More recently, Silwal has embraced cutting-edge approaches including imitation learning for pepper harvesting and Gaussian Splatting for sim-to-real transfer in robotic manipulation. With over 600 cumulative citations, his work has profoundly shaped the trajectory of precision agriculture robotics and continues to inspire the next generation of autonomous farming systems.
Research Focus
Key Achievements
Top Papers
- 1Design, integration, and field evaluation of a robotic apple harvester387 citations · 2017
- 2Proof-of-concept of a robotic apple harvester72 citations · 2016
- 3Bumblebee: A Path Towards Fully Autonomous Robotic Vine Pruning46 citations · 2022
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- 10Mechanical harvest and in-field handling of tree fruit crops.6 citations · 2017