activity
20212026
most citedA Robust Illumination-Invariant Camera System for Agricultural Applications

38 citations · 41 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2026

Active Robotic Perception for Disease Detection and Mapping in Apple Trees

Hayden Feddock, Francisco Yandun, Srđan Aćimović +1

Large-scale orchard production requires timely and precise disease monitoring, yet routine manual scouting is labor-intensive and financially impractical at the scale of modern ope…

cs.RO2026

MapForest: A Modular Field Robotics System for Forest Mapping and Invasive Species Localization

Sandeep Zachariah, Francisco Yandun, Sachet Korada +1

Monitoring and controlling invasive tree species across large forests, parks, and trail networks is challenging due to limited accessibility, reliance on manual scouting, and degra…

cs.RO2026

Vision-guided Autonomous Dual-arm Extraction Robot for Bell Pepper Harvesting

Kshitij Madhav Bhat, Tom Gao, Abhishek Mathur +4

Agricultural robotics has emerged as a critical solution to the labor shortages and rising costs associated with manual crop harvesting. Bell pepper harvesting, in particular, is a…

cs.RO2025

Evaluating Path Planning Strategies for Efficient Nitrate Sampling in Crop Rows

Ruiji Liu, Abigail Breitfeld, Srinivasan Vijayarangan +2

This paper presents a pipeline that combines high-resolution orthomosaic maps generated from UAS imagery with GPS-based global navigation to guide a skid-steered ground robot. We e…

cs.RO2024★ 1 cited

SplatSim: Zero-Shot Sim2Real Transfer of RGB Manipulation Policies Using Gaussian Splatting

Mohammad Nomaan Qureshi, Sparsh Garg, Francisco Yandun +3

Sim2Real transfer, particularly for manipulation policies relying on RGB images, remains a critical challenge in robotics due to the significant domain shift between synthetic and…

cs.RO2024★ 2 cited

Towards Over-Canopy Autonomous Navigation: Crop-Agnostic LiDAR-Based Crop-Row Detection in Arable Fields

Ruiji Liu, Francisco Yandun, George Kantor

Autonomous navigation is crucial for various robotics applications in agriculture. However, many existing methods depend on RTK-GPS devices, which can be susceptible to loss of rad…

cs.CV2021

Unsupervised Statistical Learning for Die Analysis in Ancient Numismatics

Andreas Heinecke, Emanuel Mayer, Abhinav Natarajan +1

Die analysis is an essential numismatic method, and an important tool of ancient economic history. Yet, manual die studies are too labor-intensive to comprehensively study large co…

cs.CV2021★ 38 cited

A Robust Illumination-Invariant Camera System for Agricultural Applications

Abhisesh Silwal, Tanvir Parhar, Francisco Yandun +1

Object detection and semantic segmentation are two of the most widely adopted deep learning algorithms in agricultural applications. One of the major sources of variability in imag…