2 citations · 4 across the 6 of their papers we have counts for
7 papers
Tactile-Reactive Roller Grasper
Shenli Yuan, Shaoxiong Wang, Radhen Patel +4
Manipulation of objects within a robot's hand is one of the most important challenges in achieving robot dexterity. The "Roller Graspers" refers to a family of non-anthropomorphic…
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…
Towards Human Haptic Gesture Interpretation for Robotic Systems
Bibit Bianchini, Prateek Verma, Kenneth Salisbury
Physical human-robot interactions (pHRI) are less efficient and communicative than human-human interactions, and a key reason is a lack of informative sense of touch in robotic sys…
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…