◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

S. Dong

21 papers hereh-index 285.1k citations42 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author13

Across the 21 of 21 papers where every author was matched, so the position is known.

fields
  • cs.RO13
  • cs.CV3
  • eess.IV3
  • physics.optics1
  • q-bio.GN1
same name
  • S. Dong — 184 papers, h 54
  • S. Dong — 121 papers, h 45
  • S. Dong — 70 papers, h 24
  • S. Dong — 54 papers, h 58
  • S. Dong — 28 papers, h 35
  • S. Dong — 17 papers, h 21

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142022
most citedImproved GelSight Tactile Sensor for Measuring Geometry and Slip

222 citations · 616 across the 20 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.RO2018★ 11 cited

Maintaining Grasps within Slipping Bound by Monitoring Incipient Slip

Siyuan Dong, Daolin Ma, Elliott Donlon +1

In this paper, we propose an approach to detect incipient slip, i.e. predict slip, by using a high-resolution vision-based tactile sensor, GelSlim. The sensor dynamically captures…

cs.RO2018★ 19 cited

Dense Tactile Force Distribution Estimation using GelSlim and inverse FEM

Daolin Ma, Elliott Donlon, Siyuan Dong +1

In this paper, we present a new version of tactile sensor GelSlim 2.0 with the capability to estimate the contact force distribution in real time. The sensor is vision-based and us…

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…

cs.RO2018★ 15 cited

Slip Detection with Combined Tactile and Visual Information

Jianhua Li, Siyuan Dong, Edward Adelson

Slip detection plays a vital role in robotic manipulation and it has long been a challenging problem in the robotic community. In this paper, we propose a new method based on deep…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.