Ashish Reddy Mulaka
Papers
1
Total Citations
2
H-Index
1
About
Ashish Reddy Mulaka is a researcher advancing automation in agricultural and forestry systems, with a primary focus on stereo vision-based guidance and robotic perception. His most cited work, "Development of a stereo vision-based UGV guidance system for bareroot forest nurseries" (2025), addresses a critical bottleneck in the U.S. forest nursery industry, which remains heavily dependent on manual labor for inventory and quality assessment. By integrating stereo vision into an unmanned ground vehicle (UGV), Mulaka’s system enables automated counting and evaluation of bareroot tree seedlings, significantly reducing labor demands while improving operational efficiency. This contribution has already garnered early citations, reflecting its relevance to precision agriculture and forestry automation. Mulaka’s research sits at the intersection of computer vision, robotics, and agricultural engineering, offering scalable solutions to labor-intensive field tasks. His work not only demonstrates practical deployment of vision-guided UGVs but also sets a foundation for future autonomous systems in nursery and crop management. With a growing citation footprint, Mulaka is establishing himself as a promising voice in applied robotics for sustainable agriculture.
Research Focus
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Top Papers
- 1