no code implementations • 30 May 2017 • Guan-Horng Liu, Avinash Siravuru, Sai Prabhakar, Manuela Veloso, George Kantor
Multisensory polices are known to enhance both state estimation and target tracking.
1 code implementation • 21 Jan 2019 • Sumit Kumar, Wenhao Luo, George Kantor, Katia Sycara
A looming question that must be solved before robotic plant phenotyping capabilities can have significant impact to crop improvement programs is scalability.
1 code implementation • NeurIPS 2019 • Xingyu Lin, Harjatin Baweja, George Kantor, David Held
Reinforcement learning is known to be sample inefficient, preventing its application to many real-world problems, especially with high dimensional observations like images.
no code implementations • 6 Jan 2021 • Abhisesh Silwal, Tanvir Parhar, Francisco Yandun, George Kantor
While transfer learning and data augmentation to some extent reduce the need for large amount of data to train deep neural networks, the large variety of cultivars and the lack of shared datasets in agriculture makes wide-scale field deployments difficult.
no code implementations • 14 Nov 2022 • Harry Freeman, Eric Schneider, Chung Hee Kim, Moonyoung Lee, George Kantor
In this paper, we present a method for creating high-quality 3D models of sorghum panicles for phenotyping in breeding experiments.
no code implementations • 3 Dec 2022 • Harry Freeman, Mohamad Qadri, Abhisesh Silwal, Paul O'Connor, Zachary Rubinstein, Daniel Cooley, George Kantor
We provide quantitative results on data collected in an apple orchard, and demonstrate that our system is able to predict abscise rates within 3. 5% of the current method with a 6 times improvement in speed, while requiring significantly less manual effort.
no code implementations • 20 Jan 2023 • Chung Hee Kim, George Kantor
Then, based on the observed tree structures, we build a custom 3D likelihood map in the form of an occupancy grid to hypothesize on the presence of occluded skeletons through a series of minimum cost path searches.
no code implementations • 21 Jul 2023 • Eric Schneider, Sushanth Jayanth, Abhisesh Silwal, George Kantor
Robotic pruning of dormant grapevines is an area of active research in order to promote vine balance and grape quality, but so far robotic efforts have largely focused on planar, simplified vines not representative of commercial vineyards.