6 citations · 8 across the 6 of their papers we have counts for
6 papers
Wearable Roller Rings to Augment In-Hand Manipulation through Active Surfaces
Hayden Webb, Podshara Chanrungmaneekul, Shenli Yuan +1
In-hand manipulation is a crucial ability for reorienting and repositioning objects within grasps. The main challenges in this are not only the complexity of the computational mode…
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…
From Audio to Symbolic Encoding
Shenli Yuan, Lingjie Kong, Jiushuang Guo
Automatic music transcription (AMT) aims to convert raw audio to symbolic music representation. As a fundamental problem of music information retrieval (MIR), AMT is considered a d…
In-Hand Manipulation of Unknown Objects with Tactile Sensing for Insertion
Chaoyi Pan, Marion Lepert, Shenli Yuan +2
In this paper, we present a method to manipulate unknown objects in-hand using tactile sensing without relying on a known object model. In many cases, vision-only approaches may no…
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…
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…