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Sergio Gurgone

dblp:280/3415 · 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.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%
Artificial intelligence
1 paper
Motion planning and robot control · 100%

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

TopicWeightPapersLastEvidence papers
Human-robot interaction
assistive robotics
0.712023
Exploiting Intrinsic Kinematic Null Space for Supernumerary Robotic Limbs Control · ICRA 2023
Human-robot interaction › physical human-robot interaction
supernumerary robotic limbs
0.712023
Exploiting Intrinsic Kinematic Null Space for Supernumerary Robotic Limbs Control · ICRA 2023
Robotics › Motion planning and robot control › robot kinematics
kinematic redundancy resolution
0.212023
Exploiting Intrinsic Kinematic Null Space for Supernumerary Robotic Limbs Control · ICRA 2023
Robotics › Motion planning and robot control
robot control
0.212023
Exploiting Intrinsic Kinematic Null Space for Supernumerary Robotic Limbs Control · ICRA 2023

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

intrinsic kinematic null space control · 1.3human-robot interface · 1.3
YearPublicationVenuePosition
2023 Exploiting Intrinsic Kinematic Null Space for Supernumerary Robotic Limbs Control
abstract
Supernumerary robotic limbs (SRLs) gained increasing interest in the last years for their applicability as healthcare and assistive technologies. These devices can either support or augment human sensorimotor capabilities, allowing users to complete tasks that are more complex than those feasible for their natural limbs. However, for a successful coordination between natural and artificial limbs, intuitiveness of interaction and perception of autonomy are key enabling features, especially for people suffering from motor disorders and impairments. The development of suitable human-robot interfaces is thus fundamental to foster the adoption of SRLs. With this work, we describe how to control an extra degree of freedom by taking advantage of what we defined the Intrinsic Kinematic Null Space, i.e. the redundancy of the human kinematic chain involved in the ongoing task. Obtained results demonstrated that the proposed control strategy is effective for performing complex tasks with a supernumerary robotic finger, and that practice improves users' control ability.
Tommaso Lisini Baldi, Nicole D'Aurizio, Sergio Gurgone, Daniele Borzelli, Andrea d'Avella, Domenico Prattichizzo
ICRA3