Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Patrick Deegan

dblp:24/6137 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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 manipulation · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot dynamics › contact dynamics
contact force analysis
0.112006
Static Analysis of Contact Forces with a Mobile Manipulator · ICRA 2006
Robotics › Robot manipulation
mobile manipulation
0.112006
Static Analysis of Contact Forces with a Mobile Manipulator · ICRA 2006
Robotics › Motion planning and robot control › stability analysis
static stability
0.112006
Static Analysis of Contact Forces with a Mobile Manipulator · ICRA 2006

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

force analysis · 0.1
YearPublicationVenuePosition
2006 Static Analysis of Contact Forces with a Mobile Manipulator
abstract
Most mobile robots in existence today have large, heavy, statically stable bases. To enable manipulation, actuated arms and effectors are attached to the base providing limited postural control. On the other hand, some of the latest developments in humanoid robotics have succeeded in reducing the footprint and raising the center of mass of a robot using whole body postural control and balancing. By comparing the magnitude of various forces that can be applied to the environment, we demonstrate the advantages of whole body postural control. The results presented suggest that for pushing, pulling, or carrying types of tasks, using whole body postural control can lead to higher performance by allowing a platform to apply more force to the environment
Bryan J. Thibodeau, Patrick Deegan, Roderic A. Grupen
ICRA2