Akshay K. Burusa
Papers
4
Total Citations
51
H-Index
4
About
Akshay K. Burusa is a robotics and computer vision researcher whose work sits at the intersection of agricultural automation, active perception, and deep learning. His research focuses on enabling robots to autonomously navigate and operate within complex greenhouse environments, with a particular emphasis on tomato cultivation — one of the most labour-intensive domains in controlled-environment agriculture. Burusa's most influential contribution, "3D Pose Estimation of Tomato Peduncle Nodes Using Deep Keypoint Detection and Point Cloud" (2024, 25 citations), demonstrates his ability to combine modern deep learning techniques with 3D spatial reasoning to solve real-world harvesting challenges. Complementing this, his series of next-best-view planning works — spanning attention-driven, semantics-aware, and gradient-based approaches (2022–2024) — reflects a sustained and systematic effort to address one of agricultural robotics' most persistent obstacles: occlusion. By teaching robots to strategically reposition their cameras to maximize perception of hidden plant structures, Burusa has meaningfully advanced the field of active vision for plant phenotyping and task automation. With a growing citation record across multiple high-impact studies, his work is shaping the future of sustainable, robot-assisted food production.
Research Focus
Key Achievements
Top Papers
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