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E. E. Vance

dblp:181/3293 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1989
—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 · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › motion planning › whole-body motion planning
mobile manipulator motion planning
0.011989
Planning mobile manipulator motions considering vehicle dynamic stability constraints · ICRA 1989
Robotics › Motion planning and robot control
motion planning
0.011989
Planning mobile manipulator motions considering vehicle dynamic stability constraints · ICRA 1989
Robotics › Motion planning and robot control
robot control
0.011989
Planning mobile manipulator motions considering vehicle dynamic stability constraints · ICRA 1989

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

dynamic disturbance analysis · 0.0CAD-based planning · 0.0
YearPublicationVenuePosition
1989 Planning mobile manipulator motions considering vehicle dynamic stability constraints
abstract
The high-speed motions of mobile manipulators can dynamically disturb their vehicles, even to the point where they can cause a vehicle to tip over. A planning method is presented which insures that such dynamic disturbances do not exceed the capabilities of a vehicle, and compromise its stability, while permitting a mobile manipulator to perform its tasks quickly. The method is an extension of an algorithm for fixed-base manipulators and has been implemented in a CAD system with extensive computer graphics. The technique can also determine if any proposed manipulator motion plan, optimal or conventional, results in dynamic forces which exceed the capabilities of a vehicle and result in either a statistically or dynamically unstable system. The technique is applied to a representative system in which there is significant friction between the vehicle and ground. The results suggest that the algorithm may be an effective planning tool for such mobile manipulators. The technique has also been found to be effective for planning the motions of spacecraft-mounted manipulators.>
Steven Dubowsky, E. E. Vance
ICRA2