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Davide Antonucci

dblp:308/3064 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · unresolved

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

Artificial intelligence and machine learning · 1 · 1 since 2021Systems, architecture and hardware · 1 · 1 since 2021

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 · 77% Motion planning and robot control · 23%

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

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › robot design
manipulator design
0.712023
Design and Validation of a Multi-Arm Relocatable Manipulator for Space Applications · ICRA 2023
Robotics › Robot manipulation
robot design
0.712023
Design and Validation of a Multi-Arm Relocatable Manipulator for Space Applications · ICRA 2023
Robotics › Motion planning and robot control › robot control › model-based control
computed torque control
0.212023
Design and Validation of a Multi-Arm Relocatable Manipulator for Space Applications · ICRA 2023
Robotics › Motion planning and robot control
trajectory optimization
0.212023
Design and Validation of a Multi-Arm Relocatable Manipulator for Space Applications · ICRA 2023

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

sampling-based planning · 0.7quadratic programming · 0.7nonlinear trajectory optimization · 0.7
YearPublicationVenuePosition
2023 Design and Validation of a Multi-Arm Relocatable Manipulator for Space Applications
abstract
This work presents the computational design and validation of the Multi-Arm Relocatable Manipulator (MARM), a three-limb robot for space applications, with particular reference to the MIRROR (i.e., the Multi-arm Installation Robot for Readying ORUs and Reflectors) use-case scenario as proposed by the European Space Agency. A holistic computational design and validation pipeline is proposed, with the aim of comparing different limb designs, as well as ensuring that valid limb candidates enable MARM to perform the complex loco-manipulation tasks required. Moti-vated by the task complexity in terms of kinematic reachability, (self)-collision avoidance, contact wrench limits, and motor torque limits affecting Earth experiments, this work leverages on multiple state-of-art planning and control approaches to aid the robot design and validation. These include sampling-based planning on manifolds, non-linear trajectory optimization, and quadratic programs for inverse dynamics computations with constraints. Finally, we present the attained MARM design and conduct preliminary tests for hardware validation through a set of lab experiments.
Enrico Mingo Hoffman, Arturo Laurenzi, Francesco Ruscelli, Luca Rossini, Lorenzo Baccelliere, Davide Antonucci, Alessio Margan, Paolo Guria, Marco Migliorini, Stefano Cordasco, Gennaro Raiola, Luca Muratore, Joaquín Estremera Rodrigo, Andrea Rusconi, Guido Sangiovanni, Nikolaos G. Tsagarakis
ICRA6