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Christopher Cocca

dblp:29/5178 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1999
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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 · 50% Planning, search and constraint satisfaction · 25% Robot manipulation · 25%

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

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Planning, search and constraint satisfaction › plan execution
failure recovery
0.011999
Failure Recovery in Redundant Serial Manipulators Using Nonlinear Programming · ICRA 1999
Robotics › Robot manipulation
redundant manipulator
0.011999
Failure Recovery in Redundant Serial Manipulators Using Nonlinear Programming · ICRA 1999
Robotics › Motion planning and robot control
robot control
0.011999
Failure Recovery in Redundant Serial Manipulators Using Nonlinear Programming · ICRA 1999
Robotics › Motion planning and robot control › robot control › torque control
torque-limited control
0.011999
Failure Recovery in Redundant Serial Manipulators Using Nonlinear Programming · ICRA 1999

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

performance criteria optimization · 0.0nonlinear programming · 0.0
YearPublicationVenuePosition
1999 Failure Recovery in Redundant Serial Manipulators Using Nonlinear Programming
abstract
This paper presents a simulation and analysis of partial failure recovery using nonlinear programming techniques. Previous techniques have shown partial failure recoveries that were limited by their use of a single criterion. The technique shown maintains the torque constraints imposed by the failure while minimizing additional performance criteria. One advantage of this technique is that it allows the robot to avoid parametric and mathematical limits by means of imposing additional performance criteria.
Christopher Cocca, Daniel J. Cox, Delbert Tesar
ICRA1