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20202024
most citedIn-Hand Manipulation of Unknown Objects with Tactile Sensing for Insertion

6 citations · 8 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.RO2024

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…

cs.RO2023★ 2 cited

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…

cs.RO2022★ 6 cited

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…

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…

cs.RO2020

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…