Carol Hulls

dblp:44/3059 · also Carol C. Williams Hulls · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2002
0000-0003-0236-3676ORCID · corroborated

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 1

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
2 papers
Motion planning and robot control · 63% Robot manipulation · 27% 3D vision · 9%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control › sensor-based control
visual servoing
0.122002
Telerobotic Part Assembly with Shared Visual Servo Control · ICRA 2002
Relative end-effector control using Cartesian position based visual servoing · IEEE Trans. Robotics Autom. 1996
Robotics › Motion planning and robot control › teleoperation
shared control
0.012002
Telerobotic Part Assembly with Shared Visual Servo Control · ICRA 2002
Robotics › Robot manipulation
telemanipulation
0.012002
Telerobotic Part Assembly with Shared Visual Servo Control · ICRA 2002
Computer vision › 3D vision
pose estimation
0.011996
Relative end-effector control using Cartesian position based visual servoing · IEEE Trans. Robotics Autom. 1996
Robotics › Motion planning and robot control › robot control › sensor-based control › visual servoing
position-based visual servoing
0.011996
Relative end-effector control using Cartesian position based visual servoing · IEEE Trans. Robotics Autom. 1996
Robotics › Robot manipulation
assembly
0.012002
Telerobotic Part Assembly with Shared Visual Servo Control · ICRA 2002
Robotics › Motion planning and robot control › robot control
trajectory tracking
0.011996
Relative end-effector control using Cartesian position based visual servoing · IEEE Trans. Robotics Autom. 1996

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

visual servo control · 0.0shared control · 0.0photogrammetry · 0.0extended kalman filter · 0.0
YearPublicationVenuePosition
2002 Telerobotic Part Assembly with Shared Visual Servo Control
abstract
This paper examines the use of shared control in performing part assembly operations with a telerobotic system. The shared control is based on the combination of operator commands and a local autonomous visual servo controller. This shared visual control permits partial automation of the telerobotic operations improving accuracy and allowing the operator to concentrate on high level decision making. The design of the methodology and experimental results of an assembly operation are presented.
Sheridan Ethier, William J. Wilson, Carol Hulls
ICRA3
1996 Relative end-effector control using Cartesian position based visual servoing
abstract
This paper presents a complete design methodology for Cartesian position based visual servo control for robots with a single camera mounted at the end-effector. Position based visual servo control requires the explicit calculation of the relative position and orientation (POSE) of the workpiece object with respect to the camera. This is accomplished using image plane measurements of a number of known feature points on the object, and then applying an extended Kalman filter to obtain a recursive solution of the photogrammetric equations, and to properly combine redundant measurements. The control is then designed by specifying the desired trajectories with respect to the object and forming the control error in the end-effector frame. The implementation using a distributed computer architecture is described. An experimental system has been built and used to evaluate the performance of the POSE estimation and the position based visual servo control. Several results for relative trajectory control and target tracking are presented. Results of the experiments showing the effect of loss of some of the redundant features are also presented.
William J. Wilson, Carol Hulls, Graham S. Bell
IEEE Trans. Robotics Autom.2