Evidence map›Paper›PMID 40942856›Full record

ReviewSensors (Basel, Switzerland)2025

Deformable and Fragile Object Manipulation: A Review and Prospects.

Yicheng Zhu, David Yang, Yangming Lee

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

3 authors.

Yicheng ZhuRoCAL Laboratory, Rochester Institute of Technology, Rochester, NY 14623, USA.ORCID 0009-0006-8200-3935
David YangRoCAL Laboratory, Rochester Institute of Technology, Rochester, NY 14623, USA.
Yangming LeeRoCAL Laboratory, Rochester Institute of Technology, Rochester, NY 14623, USA.ORCID 0000-0002-9794-8054

Funding

Improving Image-Guided Surgery Precision and Reliability with Real-time Modification Tracking in Endoscopic Sinus and Skull Base SurgeryR15EB034519 · NIBIB · ROCHESTER INSTITUTE OF TECHNOLOGY · PI LEE, YANGMING · 2024 to 2024
$459k
NIBIB NIH HHS R15 EB034519NSF 2346790
6 · The paper itself

Abstract

Deformable object manipulation (DOM) is a primary bottleneck for the real-world application of autonomous robots, requiring advanced frameworks for sensing, perception, modeling, planning, and control. When fragile objects such as soft tissues or fruits are involved, ensuring safety becomes the paramount concern, fundamentally altering the manipulation problem from one of pure trajectory optimization to one of constrained optimization and real-time adaptive control. Existing DOM methodologies, however, often fall short of addressing fragility constraints as a core design feature, leading to significant gaps in real-time adaptiveness and generalization. This review systematically examines individual components in DOM with a focus on their effectiveness in handling fragile objects. We identified key limitations in current approaches and, based on this analysis, discussed a promising framework that utilizes both low-latency reflexive mechanisms and global optimization to dynamically adapt to specific object instances.

Indexed as

adaptive planningdeformable object manipulation (DOM)fragile object safetymulti-modal sensor fusionreflective controlrobotics

Identifiers

PMID40942856
PMCPMC12430959

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.