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P. Bizzantino

dblp:54/4772 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1998
—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
Robot manipulation · 67% Motion planning and robot control · 33%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › grasping
autonomous grasping
0.011998
Space Robot Autonomy Based on Distance Sensors · ICRA 1998
Robotics › Robot manipulation
grasping
0.011998
Space Robot Autonomy Based on Distance Sensors · ICRA 1998
Robotics › Motion planning and robot control
robot control
0.011998
Space Robot Autonomy Based on Distance Sensors · ICRA 1998

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

laser distance sensor · 0.0hierarchical control · 0.0
YearPublicationVenuePosition
1998 Space Robot Autonomy Based on Distance Sensors
abstract
Describes work on a large laboratory testbed for space robotics (Columbus Automation and Robotics Laboratory Testbed), able to execute hierarchically organized complex activities, to increase the degree of autonomy of the system. For instance, now the robotic system is able to conclude several activities, like closing a drawer or moving a sample from a location to another, without any intervention of the operator even when the subject to be manipulated is out of its locking place or is far from the expected (nominal) position of several centimetres. A set of laser distance sensors available in the end-effector has been exploited to this purpose, and suitable strategies have been developed to recover the true grasping positions. The work has been developed following a standard control development methodology which has led to the full modular integration of the additional autonomous control capabilities in the basic robot control and programming system.
P. Bizzantino, M. De Bartolomei, GianAntonio Magnani, Gianfranco Visentin
ICRA1