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Craig K. Black

dblp:13/8908 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none

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

Applied, 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
1 paper
Motion planning and robot control · 87% Robot manipulation · 13%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
controllability		 0.012001
Recurrence, controllability, and stabilization of juggling · IEEE Trans. Robotics Autom. 2001
Robotics › Motion planning and robot control › robot control
stabilization		 0.012001
Recurrence, controllability, and stabilization of juggling · IEEE Trans. Robotics Autom. 2001
Robotics › Robot manipulation › nonprehensile manipulation
juggling		 0.012001
Recurrence, controllability, and stabilization of juggling · IEEE Trans. Robotics Autom. 2001

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

nonlinear optimization · 0.0forced recurrence · 0.0
YearPublicationVenuePosition
2001 Recurrence, controllability, and stabilization of juggling
abstract
This paper applies the idea of forced recurrence to demonstrate controllability and stabilizability of a single-input juggling system. Nonlinear optimization is used to find controls in a neighborhood of the recurrent controls that drive the system toward the goal trajectory. The approach is demonstrated on an experimental juggling system.
Kevin M. Lynch, Craig K. Black
 IEEE Trans. Robotics Autom.2