Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Attilio Pisoni

dblp:47/2209 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 1996
—ORCID · none

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

Artificial intelligence and machine learning · 2Systems, architecture and hardware · 2

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
2 papers
Motion planning and robot control · 88% Legged, aerial and field robots · 12%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
robot control
0.011996
Vibration control of deployment structures' long-reach space manipulators: The P-PED method · ICRA 1996
Robotics › Motion planning and robot control › robot control
vibration suppression
0.011996
Vibration control of deployment structures' long-reach space manipulators: The P-PED method · ICRA 1996
Robotics › Motion planning and robot control
path planning
0.011994
Path-Planning for Elastically-Mounted Space Manipulators: Experimental Evaluation of the Coupling Map · ICRA 1994
Robotics › Motion planning and robot control › path planning › 3d path planning
space robot path planning
0.011994
Path-Planning for Elastically-Mounted Space Manipulators: Experimental Evaluation of the Coupling Map · ICRA 1994
Robotics › Legged, aerial and field robots
space robotics
0.021996
Vibration control of deployment structures' long-reach space manipulators: The P-PED method · ICRA 1996
Path-Planning for Elastically-Mounted Space Manipulators: Experimental Evaluation of the Coupling Map · ICRA 1994
Robotics › Motion planning and robot control › manipulator control
space manipulator control
0.011996
Vibration control of deployment structures' long-reach space manipulators: The P-PED method · ICRA 1996
Robotics › Motion planning and robot control
trajectory optimization
0.011994
Path-Planning for Elastically-Mounted Space Manipulators: Experimental Evaluation of the Coupling Map · ICRA 1994

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

optimal gain computation · 0.0closed-loop control · 0.0experimental evaluation · 0.0dynamic simulation · 0.0
YearPublicationVenuePosition
1996 Vibration control of deployment structures' long-reach space manipulators: The P-PED method
abstract
This paper presents a control method called the pseudo-passive energy dissipation (P-PED) method. The P-PED method is a closed-loop control scheme for increasing the overall damping characteristics of an elastically-mounted space manipulator system. It reduces degrading base vibrations resulting from external disturbances or motion of the manipulator, thereby decreasing the time necessary to perform maneuvers. A methodology for computing the optimal P-PED gains is presented. Experimental results are presented which show that the P-PED method is viable for practical implementation.
Miguel A. Torres, Steven Dubowsky, Attilio Pisoni
ICRA3
1994 Path-Planning for Elastically-Mounted Space Manipulators: Experimental Evaluation of the Coupling Map
abstract
The Coupling Map has been proposed as an analytical tool to describe the dynamic interaction between space manipulators which are either elastically mounted or carried by free-flying spacecraft. The Coupling Map has yielded a number of path-planning algorithms which have been successfully demonstrated in simulation to improve system performance. This paper presents an experimental evaluation of the Coupling Map and some of its path-planning algorithms. These experimental results show that the Coupling Map based path-planning algorithms are valid and viable candidates for practical implementation on space manipulator systems.>
Miguel A. Torres, Steven Dubowsky, Attilio Pisoni
ICRA3