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Kamal Souccar

dblp:72/4621 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1996
0000-0001-7915-5272ORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 2 · 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 · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › motion planning
kinodynamic planning
0.011995
A Hamiltonian Framework for Kinodynamic Planning and Control · ICRA 1995
Robotics › Motion planning and robot control
motion planning
0.011995
A Hamiltonian Framework for Kinodynamic Planning and Control · ICRA 1995
Robotics › Motion planning and robot control
robot control
0.011995
A Hamiltonian Framework for Kinodynamic Planning and Control · ICRA 1995
Robotics › Motion planning and robot control › robot control › torque control
torque-limited control
0.011995
A Hamiltonian Framework for Kinodynamic Planning and Control · ICRA 1995

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

harmonic potential · 0.0hamiltonian framework · 0.0
YearPublicationVenuePosition
1996 Distributed motion control for multiple robotic manipulators
abstract
This paper presents a method for coordinating the motion of multiple manipulators that share a common workspace. The approach employs independent motion controllers for each manipulator coupled by way of common configuration space constraints-each robot is represented as a constraint in the other configuration spaces. The harmonic function-based controller for each robot guarantees collision-free motion up to dynamic limits. Heuristic constraints are introduced to compensate for the lack of global information in the resulting distributed controller. The relationship between the distributed controller and the task planner is discussed and results of an experimental implementation are presented.
Kamal Souccar, Roderic A. Grupen
ICRA1
1995 A Hamiltonian Framework for Kinodynamic Planning and Control
abstract
Control based on artificial potentials results in, bounded-torque controllers. The authors extend this notion by devising energy-reference controllers that use harmonic potentials to produce collision-free kinodynamic behavior. In addition, the phase space structure of a manipulator controlled by an artificial potential "copies" the critical point structure of that potential. This result is used in conjunction with harmonic potentials to generate and control convergent and repetitive motions for a manipulator.
Christopher I. Connolly, Kamal Souccar, Roderic A. Grupen
ICRA2