10 19

Cited 0 times in

Cited 0 times in

Complementary visual localization and tactile mapping approach for robotic perception of millimeter-sized objects with irregular surfaces

Authors
 Jang, Jaehwan  ;  Park, Byeong-Sun  ;  Oh, Kyeong Taek  ;  Yoo, Seong-Jae  ;  Im, Seong-Min  ;  Khan, Yasser  ;  Kim, Min-gu 
Citation
 MICROSYSTEMS & NANOENGINEERING, Vol.12(1), 2026-03 
Article Number
 91 
Journal Title
 MICROSYSTEMS & NANOENGINEERING 
ISSN
 2096-1030 
Issue Date
2026-03
Abstract
Humanoid robots and human-machine interaction technologies are essential for perceiving and manipulating millimeter-scale objects with irregular surfaces in extreme environments, such as outer space, radioactive zones, and hazardous sites with explosive ordnance, where human access is restricted. A vision-based perception approach provides spatial and positional information about objects but relying solely on it for robot manipulation poses challenges due to limitations in detectable object size, as well as sensitivity to external factors such as focusing issues, occlusion, and lighting conditions. In contrast, tactile perception offers valuable information about aspects that are difficult to discern visually, including an object's shape, surface characteristics, and the forces involved during contact. This study presents a complementary visual localization and tactile mapping framework that allows robots to effectively perceive small objects with irregular surfaces in visually restricted environments. The proposed method draws inspiration from the sequential vision-tactile sensory processing observed in humans when handling small objects with irregular surfaces. It employs an RGB-Depth camera for visual perception and a soft pressure sensor array, made using inkjet printing, for tactile perception. We demonstrate the feasibility of implementing a sensory substitution to detect the size and location of objects through visual perception, as well as identify object surfaces and reconstruct their three-dimensional profiles using tactile scanning, particularly in environments where visual information is limited. This study provides a technological foundation for enhancing the autonomy and adaptability of humanoid robots in unpredictable and unstructured environments, particularly to support precise robot manipulation in such conditions.
Files in This Item:
92192.pdf Download
DOI
10.1038/s41378-026-01190-8
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
Yonsei Authors
Kim, Min-Gu(김민구)
Oh, Kyeong Taek(오경택) ORCID logo https://orcid.org/0000-0002-6857-0945
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/211652
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links