1 citations · 1 across the 5 of their papers we have counts for
5 papers
TACTFUL: Tactile-Driven Exploration For Object Localization and Identification in Confined Environments
Shivani Kamtikar, Chung Hee Kim, Camilla Tabasso +3
Humans effortlessly locate and identify objects by touch alone, even without vision. In contrast, robotic systems rely heavily on vision and struggle with autonomous tactile explor…
WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations
Harry Freeman, Chung Hee Kim, George Kantor +1
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…
Grasp, Slide, Roll: Comparative Analysis of Contact Modes for Tactile-Based Shape Reconstruction
Chung Hee Kim, Shivani Kamtikar, Tye Brady +2
Tactile sensing allows robots to gather detailed geometric information about objects through physical interaction, complementing vision-based approaches. However, efficiently acqui…
Autonomous Robotic Pepper Harvesting: Imitation Learning in Unstructured Agricultural Environments
Chung Hee Kim, Abhisesh Silwal, George Kantor
Automating tasks in outdoor agricultural fields poses significant challenges due to environmental variability, unstructured terrain, and diverse crop characteristics. We present a…
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…