Papers
9
Total Citations
340
H-Index
5
About
Supreeth Achar is a researcher whose work spans robotics, computer vision, and computational imaging, with a particular focus on enabling autonomous systems to perceive and navigate complex, unstructured environments. His early contributions to mobile robotics introduced novel image-based exploration algorithms that allow robots to build topological maps and navigate without relying on traditional metric models, advancing the field of vision-based autonomy. Achar’s most impactful work, "River mapping from a flying robot" (140 citations), demonstrates a complete perception pipeline for state estimation, river detection, and obstacle mapping, showcasing the practical application of aerial robotics in environmental monitoring. He also made a significant contribution to computational photography with "Epipolar time-of-flight imaging" (84 citations), which applies energy-efficient epipolar imaging to consumer depth sensors like the Kinect, enabling live 3D imaging with expanded versatility. This work highlights his ability to bridge hardware limitations with algorithmic innovation. Additionally, his research extends to agricultural robotics, as seen in his work on automated visual yield estimation in vineyards. With a career marked by interdisciplinary impact, Achar’s work continues to influence both field robotics and advanced imaging techniques.
Research Focus
Key Achievements
Top Papers
- 1
- 2Epipolar time-of-flight imaging84 citations · 2017
- 3Autonomous image-based exploration for mobile robot navigation55 citations · 2008
- 4Perception for a river mapping robot36 citations · 2011
- 5Perception for a river mapping robot11 citations · 2011
- 6Erratum to “Automated Visual Yield Estimation in Vineyards”4 citations · 2014
- 7
- 8Adaptation and Learning for Image Based Navigation4 citations · 2008
- 9Image based exploration for indoor environments using local features2 citations · 2010