Evidence map›Paper›PMID 41813644›Full record

ArticleMicrosystems & nanoengineering2026

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

Jaehwan Jang, Byeong-Sun Park, Kyeong Taek Oh, Seong-Jae Yoo, Seong-Min Im, Yasser Khan, Min-Gu Kim

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jaehwan Jang *Department of Medical Engineering, College of Medicine, Yonsei University, Seoul, Republic of Korea.
Byeong-Sun Park *School of Mechanical Engineering, Yonsei University, Seoul, Republic of Korea.
Kyeong Taek OhDepartment of Medical Engineering, College of Medicine, Yonsei University, Seoul, Republic of Korea.
Seong-Jae YooDepartment of Medical Engineering, College of Medicine, Yonsei University, Seoul, Republic of Korea.
Seong-Min ImDepartment of Medical Engineering, College of Medicine, Yonsei University, Seoul, Republic of Korea.
Yasser KhanMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
Min-Gu KimDepartment of Medical Engineering, College of Medicine, Yonsei University, Seoul, Republic of Korea. mgk@yonsei.ac.kr.ORCID http://orcid.org/0000-0001-6038-1448

Funding

National Research Foundation of Korea (NRF) No. RS-2024-00338772, No. RS-2024-00461583, No. RS-2024-00411007Yonsei University | Yonsei University College of Medicine (YUCM) 6-2024-0023Yonsei University | Yonsei University College of Medicine (YUCM) 6-2025-0023
6 · The paper itself

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.

Identifiers

PMID41813644
PMCPMC12979585

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.