Chloe Pogue

dblp:336/5265 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2025
0000-0002-9855-4372ORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021Systems, architecture and hardware · 2 · 1 first-author · 2 since 2021

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 · 67% Motion planning and robot control · 33%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
continuum robot
0.912025
Automating Tension Calibration for Tendon-Driven Continuum Robots: A Low-Cost Approach Towards Consistent Teleoperation · ICRA 2025
Robotics › Motion planning and robot control
robot control
0.912025
Automating Tension Calibration for Tendon-Driven Continuum Robots: A Low-Cost Approach Towards Consistent Teleoperation · ICRA 2025
Robotics › Robot manipulation › continuum robot
tendon-driven continuum robot
0.912025
Automating Tension Calibration for Tendon-Driven Continuum Robots: A Low-Cost Approach Towards Consistent Teleoperation · ICRA 2025
Human-robot interaction
teleoperation
0.312025
Automating Tension Calibration for Tendon-Driven Continuum Robots: A Low-Cost Approach Towards Consistent Teleoperation · ICRA 2025

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

tension calibration · 1.7
YearPublicationVenuePosition
2025 Automating Tension Calibration for Tendon-Driven Continuum Robots: A Low-Cost Approach Towards Consistent Teleoperation
Kyum Lee, Chengnan Shentu, Chloe Pogue, Jessica Burgner-Kahrs
ICRA3
2022 Multiple Curvatures in a Tendon-Driven Continuum Robot Using a Novel Magnetic Locking Mechanism
abstract
Tendon-driven continuum robots show promise for use in surgical applications as they can assume complex configurations to navigate along tortuous paths. However, to achieve these complex robot shapes, multiple segments are required as each robot segment can bend only with a single constant curvature. To actuate these additional robot segments, multiple tendons must typically be added on-board the robot, complicating their integration, robot control, and actuation. This work presents a method of achieving two curvatures in a single tendon-driven continuum robot segment through use of a novel magnetic locking mechanism. Thus, the need for additional robot segments and actuating tendons is eliminated. The resulting two curvatures in a single segment are demonstrated in two and three dimensions. Furthermore, the maximum magnetic field required to actuate the locking mechanism for different robot bending angles is experimentally measured to be 6.1 mT. Additionally, the locking mechanism resists unintentional unlocking unless the robot assumes a 0° bending angle and a magnetic field of 18.1 mT is applied, conditions which are not typically reached during routine use of the system. Finally, addressable actuation of two locking mechanisms is achieved, demonstrating the capability of producing multiple curvatures in a single robot segment.
Chloe Pogue, Priyanka Rao, Quentin Peyron, Jessica Burgner-Kahrs, Eric D. Diller
IROS1