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20172023
most citedUnsupervised Learning of Audio Perception for Robotics Applications: Learning to Project Data to T-SNE/UMAP space

2 citations · 4 across the 6 of their papers we have counts for

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Showing 2022Show all

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cs.RO2022

Designing Underactuated Graspers with Dynamically Variable Geometry Using Potential Energy Map Based Analysis

C. L. Yako, Shenli Yuan, J. Kenneth Salisbury

This paper introduces an extension to the energy map method for in-hand manipulation. Energy maps are used to predict how a part will evolve in the grasp given a specific actuation…