29 citations · 45 across the 14 of their papers we have counts for
6 papers · 1 filter
Semantic Segmentation for Partially Occluded Apple Trees Based on Deep Learning
Zijue Chen, David Ting, Rhys Newbury +1
Fruit tree pruning and fruit thinning require a powerful vision system that can provide high resolution segmentation of the fruit trees and their branches. However, recent works on…
Minimizing Labeling Effort for Tree Skeleton Segmentation using an Automated Iterative Training Methodology
Keenan Granland, Rhys Newbury, David Ting +1
Training of convolutional neural networks for semantic segmentation requires accurate pixel-wise labeling which requires large amounts of human effort. The human-in-the-loop method…
Decentralized Multi-Agent Pursuit using Deep Reinforcement Learning
Cristino de Souza, Rhys Newbury, Akansel Cosgun +3
Pursuit-evasion is the problem of capturing mobile targets with one or more pursuers. We use deep reinforcement learning for pursuing an omni-directional target with multiple, homo…
Object-Independent Human-to-Robot Handovers using Real Time Robotic Vision
Patrick Rosenberger, Akansel Cosgun, Rhys Newbury +4
We present an approach for safe and object-independent human-to-robot handovers using real time robotic vision and manipulation. We aim for general applicability with a generic obj…
Supportive Actions for Manipulation in Human-Robot Coworker Teams
Shray Bansal, Rhys Newbury, Wesley Chan +5
The increasing presence of robots alongside humans, such as in human-robot teams in manufacturing, gives rise to research questions about the kind of behaviors people prefer in the…
Learning to Place Objects onto Flat Surfaces in Upright Orientations
Rhys Newbury, Kerry He, Akansel Cosgun +1
We study the problem of placing a grasped object on an empty flat surface in an upright orientation, such as placing a cup on its bottom rather than on its side. We aim to find the…