papers

Publications (7)

cs.RO2026

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations

Harry Freeman, Chung Hee Kim, George Kantor

Recent advancements in learning from human demonstration have shown promising results in addressing the scalability and high cost of data collection required to train robust visuom…

cs.RO2023

Toward Semantic Scene Understanding for Fine-Grained 3D Modeling of Plants

Mohamad Qadri, Harry Freeman, Eric Schneider +1

Agricultural robotics is an active research area due to global population growth and expectations of food and labor shortages. Robots can potentially help with tasks such as prunin…

cs.RO2023

Autonomous Apple Fruitlet Sizing and Growth Rate Tracking using Computer Vision

Harry Freeman, Mohamad Qadri, Abhisesh Silwal +4

In this paper, we present a computer vision-based approach to measure the sizes and growth rates of apple fruitlets. Measuring the growth rates of apple fruitlets is important beca…

cs.RO2025

Autonomous Apple Fruitlet Sizing with Next Best View Planning

Harry Freeman, George Kantor

In this paper, we present a next-best-view planning approach to autonomously size apple fruitlets. State-of-the-art viewpoint planners in agriculture are designed to size large and…

cs.RO2021

3D Human Reconstruction in the Wild with Collaborative Aerial Cameras

Cherie Ho, Andrew Jong, Harry Freeman +3

Aerial vehicles are revolutionizing applications that require capturing the 3D structure of dynamic targets in the wild, such as sports, medicine, and entertainment. The core chall…

cs.RO2022

3D Reconstruction-Based Seed Counting of Sorghum Panicles for Agricultural Inspection

Harry Freeman, Eric Schneider, Chung Hee Kim +2

In this paper, we present a method for creating high-quality 3D models of sorghum panicles for phenotyping in breeding experiments. This is achieved with a novel reconstruction app…

cs.CV2025

Transformer-Based Spatio-Temporal Association of Apple Fruitlets

Harry Freeman, George Kantor

In this paper, we present a transformer-based method to spatio-temporally associate apple fruitlets in stereo-images collected on different days and from different camera poses. St…