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Mariusz Giergiel

dblp:53/9915 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
0000-0002-4212-1113ORCID · reported

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1

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 · 50% Motion planning and robot control · 50%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › mobile manipulation
floating-base manipulation
0.212015
Autonomous underwater panel operation by GIRONA500 UVMS: A practical approach to autonomous underwater manipulation · ICRA 2015
Robotics › Motion planning and robot control › robot control
kinematic control
0.212015
Autonomous underwater panel operation by GIRONA500 UVMS: A practical approach to autonomous underwater manipulation · ICRA 2015
Robotics › Motion planning and robot control › robot control › redundant manipulator control
task-priority redundancy resolution
0.212015
Autonomous underwater panel operation by GIRONA500 UVMS: A practical approach to autonomous underwater manipulation · ICRA 2015
Robotics › Robot manipulation
underwater manipulation
0.212015
Autonomous underwater panel operation by GIRONA500 UVMS: A practical approach to autonomous underwater manipulation · ICRA 2015

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

task concurrence · 0.2
YearPublicationVenuePosition
2015 Autonomous underwater panel operation by GIRONA500 UVMS: A practical approach to autonomous underwater manipulation
abstract
This paper proposes a controller for the GIRONA500 Underwater Vehicle Manipulator System and reports experimental results for an autonomous floating-base valve-turning manipulation application. The selected method is based on kinematic control, avoiding the need for a complex, and difficult to obtain, hydrodynamic model. The method relies on the decoupled control of the vehicle and manipulator velocities using a combination of the task priority redundancy resolution and the task concurrence approaches. The paper discusses the manipulation tasks needed, their hierarchical organisation, and a set of strategies that were needed to complement the `standard' task-priority approach to successfully solve the floating-base manipulation problem in water tank experimental conditions.
Patryk Cieslak, Pere Ridao, Mariusz Giergiel
ICRA3