2 citations · 2 across the 6 of their papers we have counts for
7 papers · 1 filter
Hearing the Slide: Acoustic-Guided Constraint Learning for Fast Non-Prehensile Transport
Yuemin Mao, Bardienus P. Duisterhof, Moonyoung Lee +1
Object transport tasks are fundamental in robotic automation, emphasizing the importance of efficient and secure methods for moving objects. Non-prehensile transport can significan…
Audio-Visual Contact Classification for Tree Structures in Agriculture
Ryan Spears, Moonyoung Lee, George Kantor +1
Contact-rich manipulation tasks in agriculture, such as pruning and harvesting, require robots to physically interact with tree structures to maneuver through cluttered foliage. Id…
SonicBoom: Contact Localization Using Array of Microphones
Moonyoung Lee, Uksang Yoo, Jean Oh +3
In cluttered environments where visual sensors encounter heavy occlusion, such as in agricultural settings, tactile signals can provide crucial spatial information for the robot to…
Hefty: A Modular Reconfigurable Robot for Advancing Robot Manipulation in Agriculture
Dominic Guri, Moonyoung Lee, Oliver Kroemer +1
This paper presents a modular, reconfigurable robot platform for robot manipulation in agriculture. While robot manipulation promises great advancements in automating challenging,…
Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models
Alex LaGrassa, Moonyoung Lee, Oliver Kroemer
When planning with an inaccurate dynamics model, a practical strategy is to restrict planning to regions of state-action space where the model is accurate: also known as a \textit{…
Towards Robotic Tree Manipulation: Leveraging Graph Representations
Chung Hee Kim, Moonyoung Lee, Oliver Kroemer +1
There is growing interest in automating agricultural tasks that require intricate and precise interaction with specialty crops, such as trees and vines. However, developing robotic…