Caroline B. Black

dblp:196/6551 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0001-8712-2788ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
continuum robot
0.312018
Parallel Continuum Robots: Modeling, Analysis, and Actuation-Based Force Sensing · IEEE Trans. Robotics 2018
Robotics › Robot manipulation
force sensing
0.312018
Parallel Continuum Robots: Modeling, Analysis, and Actuation-Based Force Sensing · IEEE Trans. Robotics 2018
Robotics › Robot manipulation › manipulator modeling
kinetostatic modeling
0.312018
Parallel Continuum Robots: Modeling, Analysis, and Actuation-Based Force Sensing · IEEE Trans. Robotics 2018
Robotics › Robot manipulation › continuum robot
parallel continuum robot
0.312018
Parallel Continuum Robots: Modeling, Analysis, and Actuation-Based Force Sensing · IEEE Trans. Robotics 2018
Robotics › Robot manipulation › continuum robot
cosserat rod model
0.112018
Parallel Continuum Robots: Modeling, Analysis, and Actuation-Based Force Sensing · IEEE Trans. Robotics 2018

Methods — techniques the papers use, named apart from their topics

nondimensional analysis · 0.3experimental validation · 0.3cosserat-rod modeling · 0.3
YearPublicationVenuePosition
2018 Parallel Continuum Robots: Modeling, Analysis, and Actuation-Based Force Sensing
abstract
Parallel continuum robots (PCRs) combine the compactness, simplicity, and compliance of continuum robots with the precision and strength of rigid-link parallel robots. In this paper, we provide a generalized Cosserat-rod-based kinetostatic model framework that accommodates various joint types and problem formulations (e.g., forward and inverse kinematics under loads, and deflection-based and actuation-based force sensing) useful for simulation and control. Linearization of this general model provides the manipulator Jacobian, end-effector compliance, input stiffness, and wrench reflectivity matrices, which allow us to examine the effect of design parameters on dexterity, force application, and force-sensing ability. Using ellipsoids based on the matrices, we provide a set of design simulations and graphically depict the relationships between pose, actuation, and forces. We further provide a nondimensional analysis of the compliance of PCRs. Finally, we experimentally demonstrate and validate actuation-based force sensing on a prototype six-degree-of-freedom PCR, demonstrating 3-D force sensing with a median magnitude and a directional error of 0.23 N (8% of actual load) and 12°, respectively.
Caroline B. Black, John Till, D. Caleb Rucker
IEEE Trans. Robotics1