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Pierluigi Arpenti

dblp:238/2235 · DBLP profile ↗
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3ranked-venue papers
2as first author
2since 2021 · last 2023
0000-0002-0327-3069ORCID · corroborated

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

Artificial intelligence and machine learning · 3 · 2 first-author · 2 since 2021Systems, architecture and hardware · 2 · 2 first-author · 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
Legged, aerial and field robots · 60% Motion planning and robot control · 40%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Legged, aerial and field robots › legged robots › legged robot locomotion
bipedal locomotion
0.412020
Interconnection and Damping Assignment Passivity-Based Control for Gait Generation in Underactuated Compass-Like Robots · ICRA 2020
Robotics › Legged, aerial and field robots
gait generation
0.412020
Interconnection and Damping Assignment Passivity-Based Control for Gait Generation in Underactuated Compass-Like Robots · ICRA 2020
Robotics › Legged, aerial and field robots
legged robots
0.412020
Interconnection and Damping Assignment Passivity-Based Control for Gait Generation in Underactuated Compass-Like Robots · ICRA 2020
Robotics › Motion planning and robot control › robot control
passivity-based control
0.412020
Interconnection and Damping Assignment Passivity-Based Control for Gait Generation in Underactuated Compass-Like Robots · ICRA 2020
Robotics › Motion planning and robot control
robot control
0.412020
Interconnection and Damping Assignment Passivity-Based Control for Gait Generation in Underactuated Compass-Like Robots · ICRA 2020

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

port-hamiltonian framework · 0.4interconnection and damping assignment · 0.4
YearPublicationVenuePosition
2023 Sensorless Reduction of Cane Oscillations Aimed at Improving Robotic Grapevine Winter Pruning
Andrea Fimiani, Pierluigi Arpenti, Matteo Gatti, Fabio Ruggiero
ICINCO (1)2
2022 Uniform Global Exponential Stabilizing Passivity-Based Tracking Controller Applied to Planar Biped Robots
abstract
This paper presents a novel control approach, based on the interconnection and damping-assignment passivity-based control (IDA-PBC), to achieve stable and periodic walking for underactuated planar biped robots with one degree of underactuation. The system's physical structure is preserved by assigning a target port-Hamiltonian dynamics to the closed-loop system, which also ensures passivity. The control design ensures that the tracking error to the desired periodic gait converges exponentially to zero, and the convergence rate can be adjusted via gain tuning. Besides, through the hybrid zero dynamics, the stability of the full-order system can be retrieved from the stability of the orbit created in a lower-dimensional manifold. The proposed approach is the first example of a tracking controller based on the IDA-PBC applied to underactuated biped robots. Numerical simulations on a five-link planar biped robot with unactuated ankles validate the approach and show the performance of the closed-loop system.
Pierluigi Arpenti, Alejandro Donaire, Fabio Ruggiero, Vincenzo Lippiello
IROS1
2020 Interconnection and Damping Assignment Passivity-Based Control for Gait Generation in Underactuated Compass-Like Robots
abstract
A compass-like biped robot can go down a gentle slope without the need of actuation through a proper choice of its dynamic parameter and starting from a suitable initial condition. Addition of control actions is requested to generate additional gaits and robustify the existing one. This paper designs an interconnection and damping assignment passivity-based control, rooted within the port-Hamiltonian framework, to generate further gaits with respect to state-of-the-art methodologies, enlarge the basin of attraction of existing gaits, and further robustify the system against controller discretization and parametric uncertainties. The performance of the proposed algorithm is validated through numerical simulations and comparison with existing passivity-based techniques.
Pierluigi Arpenti, Fabio Ruggiero, Vincenzo Lippiello
ICRA1