Evidence map›Paper›PMID 40726498›Full record

ArticleIEEE robotics and automation letters2023

Time-Optimal Spiral Trajectories with Closed-Form Solutions.

Mark Draelos

Abstract read
In one paragraph

Article in IEEE robotics and automation letters, 2023. 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. Article
  2. Review
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

1 author.

Mark DraelosMark Draelos is with the Departments of Robotics and Ophthalmology, University of Michigan, MI, USA.

Funding

Robotic Point-of-Care OCTK99EY034200 · NEI · DUKE UNIVERSITY · PI DRAELOS, MARK · 2022 to 2022
$98k
NEI NIH HHS K99 EY034200
6 · The paper itself

Abstract

The Archimedean spiral is space-filling plane curve that is found in applications ranging from coverage path planning for robot exploration to scan pattern generation for medical imaging. The constant linear velocity (CLV) parameterization of this spiral is of particular interest due to its fixed path velocity and isotropic sampling capability, but the high accelerations near its origin singularity yield poor trajectory tracking that limit its utility. Here, I derive a closed-form time-optimal time scaling for CLV spirals with large path velocities that mitigates the singularity by inspecting the CLV spiral's acceleration envelope. When applied to two degree-of-freedom Cartesian scanner, I demonstrate that this approach reduces trajectory tracking error by up to 97.1 % as compared to naïve CLV spirals with low computational overhead. I further show that this time scaling eliminates the central image distortion near the origin for scanning applications that rely on CLV spirals.

Indexed as

dynamicsMotion and path planningoptimal controltrajectory generation

Identifiers

PMID40726498
PMCPMC12303072

What OpenQuestion holds

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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.