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Filippo Loschi

dblp:304/4890 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2021
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Systems, architecture and hardware · 1 · 1 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
Motion planning and robot control · 100%
Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Medical and health informatics · 100%

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

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control › teleoperation
bilateral teleoperation
0.512021
An Optimized Two-Layer Approach for Efficient and Robustly Stable Bilateral Teleoperation · ICRA 2021
Robotics › Motion planning and robot control
teleoperation
0.512021
An Optimized Two-Layer Approach for Efficient and Robustly Stable Bilateral Teleoperation · ICRA 2021
Haptics and multimodal interaction › haptic rendering
force rendering
0.512021
An Optimized Two-Layer Approach for Efficient and Robustly Stable Bilateral Teleoperation · ICRA 2021
Medical and health informatics
surgical robotics
0.112021
An Optimized Two-Layer Approach for Efficient and Robustly Stable Bilateral Teleoperation · ICRA 2021

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

optimization · 1.5energy-based passivity · 1.5
YearPublicationVenuePosition
2021 An Optimized Two-Layer Approach for Efficient and Robustly Stable Bilateral Teleoperation
abstract
In this paper, we propose a novel bilateral teleoperation architecture that allows to optimally render the remote interaction force at the local side while guaranteeing a robustly stable behaviour. Stability is guaranteed by ensuring a proper energy exchange between the local and the remote sides. Desired performance is obtained by optimizing the way energy is exploited for generating the behaviour at each side. The effectiveness of the proposed architecture is experimentally validated on a torque-controlled manipulator and in a surgical scenario, using the da Vinci®Research Kit (dVRK).
Filippo Loschi, Nicola Piccinelli, Diego Dall'Alba, Riccardo Muradore, Paolo Fiorini, Cristian Secchi
ICRA1