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Jeremy J. Davis

dblp:14/1566 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2009
0000-0003-2854-490XORCID · corroborated

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 1Human-computer interaction and ubiquitous 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
1 paper
Motion planning and robot control · 67% Robot navigation and mapping · 33%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction
field robotics
0.112009
Human-robot interaction observations from a proto-study using SUAVs for structural inspection · HRI 2009
Robotics › Motion planning and robot control › robot calibration
kinematic parameter identification
0.112008
Odometry and calibration methods for multi-castor vehicles · ICRA 2008
Robotics › Robot navigation and mapping › localization
odometry
0.112008
Odometry and calibration methods for multi-castor vehicles · ICRA 2008
Robotics › Motion planning and robot control
robot calibration
0.112008
Odometry and calibration methods for multi-castor vehicles · ICRA 2008

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

proto-study · 0.1observation · 0.1least squares · 0.1
YearPublicationVenuePosition
2009 Human-robot interaction observations from a proto-study using SUAVs for structural inspection
abstract
No abstract available.
Maarten van Zomeren, Joshua M. Peschel, Gabe Knezek, James Doebbler, Jeremy J. Davis, Tracy Anne Hammond, Augustinus H. J. Oomes, Robin R. Murphy
HRI6
2008 Odometry and calibration methods for multi-castor vehicles
abstract
We are developing a mobile robot capable of emulating general 6-degree-of-freedom spacecraft relative motion. The omni-directional base uses a trio of active split offset castor drive modules to provide smooth, holonomic, precise control of its motion. Encoders measure the rotations of the six wheels and the three castor pivots. We present a generic odometric algorithm using a least squares framework which is applicable to vehicles with two or more castors and apply it to our unique vehicle configuration. As the accuracy of odometry algorithms depends on the accuracy to which the model parameters are known, a method to perform calibration on the physical robot is needed. We present a geometric calibration method based solely on internal sensor measurements. We present a range of simulation results comparing our odometry results to other algorithms under various systematic and non-systematic errors. We evaluate the ability of our calibration method to accurately determine the true values of our system parameters. The odometry algorithm was also implemented and tested in hardware on our robotic platform. The results presented in the paper validate the calibration and odometry algorithms in both simulation and hardware.
James Doebbler, Jeremy J. Davis, John L. Junkins, John Valasek
ICRA2