Demo Data from VLDB 2026 / reviewers in the wild / expert
Davide Antonucci
dblp:308/3064
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Robot manipulation › robot design
manipulator design |
0.7 | 1 | 2023 | Design and Validation of a Multi-Arm Relocatable Manipulator for Space Applications · ICRA 2023 |
Robotics › Robot manipulation
robot design |
0.7 | 1 | 2023 | 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 |
0.2 | 1 | 2023 | Design and Validation of a Multi-Arm Relocatable Manipulator for Space Applications · ICRA 2023 |
Robotics › Motion planning and robot control
trajectory optimization |
0.2 | 1 | 2023 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Design and Validation of a Multi-Arm Relocatable Manipulator for Space ApplicationsabstractThis 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 |
ICRA | 6 |