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Prabhakar R. Regilla

dblp:67/2809 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1995
—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 · 60% Robot manipulation · 40%
Theoretical computer science
1 paper
Mathematical optimization · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › robot control
adaptive control
0.011995
Adaptive Control of Two Robot Arms Carrying an Unknown Object · ICRA 1995
Robotics › Motion planning and robot control › robot control
force control
0.011995
Adaptive Control of Two Robot Arms Carrying an Unknown Object · ICRA 1995
Robotics › Robot manipulation › cooperative manipulation
internal force control
0.011995
Adaptive Control of Two Robot Arms Carrying an Unknown Object · ICRA 1995
Robotics › Robot manipulation › cooperative manipulation
multi-arm manipulation
0.011995
Adaptive Control of Two Robot Arms Carrying an Unknown Object · ICRA 1995
Robotics › Motion planning and robot control
robot control
0.011995
Adaptive Control of Two Robot Arms Carrying an Unknown Object · ICRA 1995
Mathematical optimization › control theory
optimal control
0.011995
Adaptive Control of Two Robot Arms Carrying an Unknown Object · ICRA 1995

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

lyapunov stability analysis · 0.0feedforward plus PI control · 0.0adaptive control · 0.0
YearPublicationVenuePosition
1995 Adaptive Control of Two Robot Arms Carrying an Unknown Object
abstract
We deal with the control of two robot manipulators carrying an unknown object. We consider the uncertainties in mass, inertia and center of mass of the object. A dynamic model is obtained for the combined system. An adaptive scheme is proposed to track the desired motion trajectory of the object in the presence of uncertainties. A feedforward plus PI type force controller is designed for internal force control. A Lyapunov based stability analysis is conducted for the proposed scheme. In the adaptive motion control scheme for the combined system we cannot specify the individual torques of the manipulators uniquely. To obtain a set of individual torques an optimal control problem is formulated by minimizing a cost function.
Prabhakar R. Regilla, Masayoshi Tomizuka
ICRA1