activity
20142024
most citedMore Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch

374 citations · 1.2k across the 33 of their papers we have counts for

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29 papers · 1 filter

cs.RO2024

Scalable, Simulation-Guided Compliant Tactile Finger Design

Yuxiang Ma, Arpit Agarwal, Sandra Q. Liu +2

Compliant grippers enable robots to work with humans in unstructured environments. In general, these grippers can improve with tactile sensing to estimate the state of objects arou…

cs.RO2024★ 1 cited

PoCo: Policy Composition from and for Heterogeneous Robot Learning

Lirui Wang, Jialiang Zhao, Yilun Du +2

Training general robotic policies from heterogeneous data for different tasks is a significant challenge. Existing robotic datasets vary in different modalities such as color, dept…

cs.RO2023★ 3 cited

GelSight Svelte Hand: A Three-finger, Two-DoF, Tactile-rich, Low-cost Robot Hand for Dexterous Manipulation

Jialiang Zhao, Edward H. Adelson

This paper presents GelSight Svelte Hand, a novel 3-finger 2-DoF tactile robotic hand that is capable of performing precision grasps, power grasps, and intermediate grasps. Rich ta…

cs.RO2023★ 1 cited

GelSight Svelte: A Human Finger-shaped Single-camera Tactile Robot Finger with Large Sensing Coverage and Proprioceptive Sensing

Jialiang Zhao, Edward H. Adelson

Camera-based tactile sensing is a low-cost, popular approach to obtain highly detailed contact geometry information. However, most existing camera-based tactile sensors are fingert…

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.RO2023★ 2 cited

GelSight360: An Omnidirectional Camera-Based Tactile Sensor for Dexterous Robotic Manipulation

Megha H. Tippur, Edward H. Adelson

Camera-based tactile sensors have shown great promise in enhancing a robot's ability to perform a variety of dexterous manipulation tasks. Advantages of their use can be attributed…

cs.RO2023★ 1 cited

GelSight EndoFlex: A Soft Endoskeleton Hand with Continuous High-Resolution Tactile Sensing

Sandra Q. Liu, Leonardo Zamora Yañez, Edward H. Adelson

We describe a novel three-finger robot hand that has high resolution tactile sensing along the entire length of each finger. The fingers are compliant, constructed with a soft shel…

cs.RO2023★ 2 cited

GelSight Baby Fin Ray: A Compact, Compliant, Flexible Finger with High-Resolution Tactile Sensing

Sandra Q. Liu, Yuxiang Ma, Edward H. Adelson

The synthesis of tactile sensing with compliance is essential to many fields, from agricultural usages like fruit picking, to sustainability practices such as sorting recycling, to…

cs.RO2023★ 1 cited

TactoFind: A Tactile Only System for Object Retrieval

Sameer Pai, Tao Chen, Megha Tippur +3

We study the problem of object retrieval in scenarios where visual sensing is absent, object shapes are unknown beforehand and objects can move freely, like grabbing objects out of…

cs.RO2023

FingerSLAM: Closed-loop Unknown Object Localization and Reconstruction from Visuo-tactile Feedback

Jialiang Zhao, Maria Bauza, Edward H. Adelson

In this paper, we address the problem of using visuo-tactile feedback for 6-DoF localization and 3D reconstruction of unknown in-hand objects. We propose FingerSLAM, a closed-loop…

cs.RO2022★ 3 cited

Visuotactile Affordances for Cloth Manipulation with Local Control

Neha Sunil, Shaoxiong Wang, Yu She +2

Cloth in the real world is often crumpled, self-occluded, or folded in on itself such that key regions, such as corners, are not directly graspable, making manipulation difficult.…

cs.RO2022★ 10 cited

See, Hear, and Feel: Smart Sensory Fusion for Robotic Manipulation

Hao Li, Yizhi Zhang, Junzhe Zhu +7

Humans use all of their senses to accomplish different tasks in everyday activities. In contrast, existing work on robotic manipulation mostly relies on one, or occasionally two mo…

cs.RO2022★ 93 cited

Visual Dexterity: In-Hand Reorientation of Novel and Complex Object Shapes

Tao Chen, Megha Tippur, Siyang Wu +3

In-hand object reorientation is necessary for performing many dexterous manipulation tasks, such as tool use in less structured environments that remain beyond the reach of current…

cs.RO2022★ 5 cited

GelSight Fin Ray: Incorporating Tactile Sensing into a Soft Compliant Robotic Gripper

Sandra Q. Liu, Edward H. Adelson

To adapt to constantly changing environments and be safe for human interaction, robots should have compliant and soft characteristics as well as the ability to sense the world arou…

cs.RO2021★ 6 cited

GelSight Wedge: Measuring High-Resolution 3D Contact Geometry with a Compact Robot Finger

Shaoxiong Wang, Yu She, Branden Romero +1

Vision-based tactile sensors have the potential to provide important contact geometry to localize the objective with visual occlusion. However, it is challenging to measure high-re…

cs.RO2021★ 1 cited

Digger Finger: GelSight Tactile Sensor for Object Identification Inside Granular Media

Radhen Patel, Rui Ouyang, Branden Romero +1

In this paper we present an early prototype of the Digger Finger that is designed to easily penetrate granular media and is equipped with the GelSight sensor. Identifying objects b…

cs.RO2021★ 9 cited

SwingBot: Learning Physical Features from In-hand Tactile Exploration for Dynamic Swing-up Manipulation

Chen Wang, Shaoxiong Wang, Branden Romero +2

Several robot manipulation tasks are extremely sensitive to variations of the physical properties of the manipulated objects. One such task is manipulating objects by using gravity…

cs.RO2020

Soft, Round, High Resolution Tactile Fingertip Sensors for Dexterous Robotic Manipulation

Branden Romero, Filipe Veiga, Edward Adelson

High resolution tactile sensors are often bulky and have shape profiles that make them awkward for use in manipulation. This becomes important when using such sensors as fingertips…

cs.RO2020★ 25 cited

Design of a Fully Actuated Robotic Hand With Multiple Gelsight Tactile Sensors

Achu Wilson, Shaoxiong Wang, Branden Romero +1

This work details the design of a novel two finger robot gripper with multiple Gelsight based optical-tactile sensors covering the inner surface of the hand. The multiple Gelsight…

cs.RO2019★ 11 cited

Cable Manipulation with a Tactile-Reactive Gripper

Yu She, Shaoxiong Wang, Siyuan Dong +3

Cables are complex, high dimensional, and dynamic objects. Standard approaches to manipulate them often rely on conservative strategies that involve long series of very slow and in…

cs.RO2019★ 2 cited

Exoskeleton-covered soft finger with vision-based proprioception and tactile sensing

Yu She, Sandra Q. Liu, Peiyu Yu +1

Soft robots offer significant advantages in adaptability, safety, and dexterity compared to conventional rigid-body robots. However, it is challenging to equip soft robots with acc…

cs.RO2018★ 374 cited

More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch

Roberto Calandra, Andrew Owens, Dinesh Jayaraman +5

For humans, the process of grasping an object relies heavily on rich tactile feedback. Most recent robotic grasping work, however, has been based only on visual input, and thus can…

cs.RO2018★ 15 cited

ViTac: Feature Sharing between Vision and Tactile Sensing for Cloth Texture Recognition

Shan Luo, Wenzhen Yuan, Edward Adelson +2

Vision and touch are two of the important sensing modalities for humans and they offer complementary information for sensing the environment. Robots could also benefit from such mu…

cs.RO2018★ 1 cited

GelSlim: A High-Resolution, Compact, Robust, and Calibrated Tactile-sensing Finger

Elliott Donlon, Siyuan Dong, Melody Liu +3

This work describes the development of a high-resolution tactile-sensing finger for robot grasping. This finger, inspired by previous GelSight sensing techniques, features an integ…