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Lorenzo Scalera

dblp:203/6420 · DBLP profile ↗
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2ranked-venue papers
2as first author
1since 2021 · last 2021
0000-0002-0770-0275ORCID · verified

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 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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
2 papers
Motion planning and robot control · 80% Robot manipulation · 20%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Motion planning and robot control
collision avoidance
0.512021
Optimal scaling of dynamic safety zones for collaborative robotics · ICRA 2021
Robotics › Motion planning and robot control
robot control
0.512021
Optimal scaling of dynamic safety zones for collaborative robotics · ICRA 2021
Human-robot interaction › human-robot collaboration
collaborative robot
0.512021
Optimal scaling of dynamic safety zones for collaborative robotics · ICRA 2021
Human-robot interaction › physical human-robot interaction
safe control
0.512021
Optimal scaling of dynamic safety zones for collaborative robotics · ICRA 2021
Robotics › Robot manipulation › parallel manipulator
cable-driven parallel robot
0.312018
Cable-Based Robotic Crane (CBRC): Design and Implementation of Overhead Traveling Cranes Based on Variable Radius Drums · IEEE Trans. Robotics 2018
Robotics › Motion planning and robot control › robot kinematics
kinematic modeling
0.312018
Cable-Based Robotic Crane (CBRC): Design and Implementation of Overhead Traveling Cranes Based on Variable Radius Drums · IEEE Trans. Robotics 2018

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

optimal trajectory planning · 1.0bounding volume intersection tests · 1.0kinematic analysis · 0.3
YearPublicationVenuePosition
2021 Optimal scaling of dynamic safety zones for collaborative robotics
abstract
We propose a safety control approach based on the online optimal scaling of the size of bounding volumes used as dynamic safety zones for collaborative robotics. Intersection tests between bounding volumes surrounding robot and human allow the safety controller to identify possible collisions. Our proposed approach optimizes online smooth stop trajectories, to be engaged if a potential collision is detected. Unlike other approaches, the robot dynamics and its torque constraints are here considered to plan optimal trajectories that minimize the size of safety zones surrounding the robot. Simulation results on a validated model of a robot with seven degrees-of-freedom verify the feasibility of the proposed approach.
Lorenzo Scalera, Renato Vidoni, Andrea Giusti 0004
ICRA1
2018 Cable-Based Robotic Crane (CBRC): Design and Implementation of Overhead Traveling Cranes Based on Variable Radius Drums
abstract
In this paper, we present a new family of overhead traveling cranes based on variable radius drums (VRDs), called cable-based robotic cranes (CBRCs). A VRD is characterized by the variation of the spool radius along its profile. This kind of device is used, in this context, for the development of a cable-robot, which can support and move a load through a planar working area with just two degrees of freedom. First we present the kinematic analysis and the synthesis of the geometry of a VRD profile. Then, the schema of a bidimensional horizontal moving mechanism, based on the VRD theory, and an experimental prototype of a three-dimensional CBRC are presented. The features of this wire-based overhead crane and an analysis of cables tensions are discussed. Finally, the performance of this mechanism is evaluated, demonstrating a deviation between the end-effector and the nominal planar surface of less than 1% throughout the whole working area.
Lorenzo Scalera, Paolo Gallina, Stefano Seriani, Alessandro Gasparetto
IEEE Trans. Robotics1