4 accepted papers
The need for fast and precise measurements of plant attributes makes robotic solutions an ideal replacement for labor-intensive phenotyping processes. In this work we present a deep learning-based high throughput, online pipeline for in-situ sorghum stalk detection and grasping. We use a variation o…
This paper describes an algorithm for visually detecting crop stalks in-situ. Field-based crop stalk detection is a challenging computer vision problem due to occlusion by leaves, similarity of color and texture between stalks and surrounding foliage, and high stalk density within rows. Detecting st…
The established processes for measuring physiological and morphological traits (phenotypes) of crops in outdoor test plots are labor intensive and error-prone. Low-cost, reliable, field-based robotic phenotyping will enable geneticists to more easily map genotypes to phenotypes, which in turn will i…
Pinching is an important capability for mobile robots handling small items or tools. Successful pinching requires force-closure and, in underwater applications, gentle suction flow at the fingertips can dramatically improve the handling of light objects by counteracting the negative effects of water…