2 citations · 2 across the 1 of their papers we have counts for
4 papers
Design and Control of Roller Grasper V2 for In-Hand Manipulation
Shenli Yuan, Lin Shao, Connor L. Yako +2
The ability to perform in-hand manipulation still remains an unsolved problem; having this capability would allow robots to perform sophisticated tasks requiring repositioning and…
Unsupervised Learning of Audio Perception for Robotics Applications: Learning to Project Data to T-SNE/UMAP space
Prateek Verma, Kenneth Salisbury
Audio perception is a key to solving a variety of problems ranging from acoustic scene analysis, music meta-data extraction, recommendation, synthesis and analysis. It can potentia…
Scene Recognition Through Visual and Acoustic Cues Using K-Means
Sidharth Rajaram, J. Kenneth Salisbury
We propose a K-Means based prediction system, nicknamed SERVANT (Scene Recognition Through Visual and Acoustic Cues), that is capable of recognizing environmental scenes through an…
Learning to Represent Haptic Feedback for Partially-Observable Tasks
Jaeyong Sung, J. Kenneth Salisbury, Ashutosh Saxena
The sense of touch, being the earliest sensory system to develop in a human body [1], plays a critical part of our daily interaction with the environment. In order to successfully…