Marcelo J. Dapino

dblp:246/7881 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0003-4888-1903ORCID · corroborated

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Applied, interdisciplinary, general and emerging computing · 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
2 papers
Robot manipulation · 100%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 50% Haptics and multimodal interaction · 50%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 7 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.612022
Modeling of Fluidic Prestressed Composite Actuators With Application to Soft Robotic Grippers · IEEE Trans. Robotics 2022
Robotics › Robot manipulation › soft robotics
soft actuator
0.612022
Modeling of Fluidic Prestressed Composite Actuators With Application to Soft Robotic Grippers · IEEE Trans. Robotics 2022
Robotics › Robot manipulation › grasping
soft gripper
0.612022
Modeling of Fluidic Prestressed Composite Actuators With Application to Soft Robotic Grippers · IEEE Trans. Robotics 2022
Robotics › Robot manipulation
soft robotics
0.612022
Modeling of Fluidic Prestressed Composite Actuators With Application to Soft Robotic Grippers · IEEE Trans. Robotics 2022
Human-robot interaction
safe human-robot interaction
0.412019
Discrete Layer Jamming for Safe Co-Robots · ICRA 2019
Haptics and multimodal interaction › haptic device actuation
stiffness modulation
0.412019
Discrete Layer Jamming for Safe Co-Robots · ICRA 2019
Bioinformatics and computational biology › molecular informatics › molecular modeling
structural modeling
0.212022
Modeling of Fluidic Prestressed Composite Actuators With Application to Soft Robotic Grippers · IEEE Trans. Robotics 2022

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

strain energy minimization · 1.1rayleigh-ritz method · 1.1chained composite model · 1.1layer jamming · 0.8
YearPublicationVenuePosition
2022 Modeling of Fluidic Prestressed Composite Actuators With Application to Soft Robotic Grippers
abstract
Soft and continuously controllable grippers can be assembled from fluidic prestressed composite (FPC) actuators. Due to their highly deformable features, it is difficult to model such actuators for large deflections. This article proposes a new method for modeling large deflections of FPC actuators called the chained composite model (CCM) to characterize the quasi-static response to an applied fluid pressure and load. The CCM divides an FPC actuator into discrete elements and models each element by a small rotation model. The strain energy of each element and the work done by pressure and loads are computed using third-order displacement polynomials with unknown coefficients; then, the total energy is minimized to calculate stable shapes using the Rayleigh–Ritz method. This study provides a set of systematic design rules to help the robotics community create FPC actuators by understanding how their responses vary as a function of input forces and pressures for a number of modeling and design parameters. Composite actuators are fabricated and a soft gripper is developed to demonstrate the grasping ability of the FPC actuators. Pneumatic pressure and end loads are applied to the composite actuators, and their responses are measured. The modeled responses of the actuators are shown to be in agreement with the measured responses.
Leon M. Headings, Marcelo J. Dapino
IEEE Trans. Robotics3
2019 Discrete Layer Jamming for Safe Co-Robots
abstract
High injury severity occurs when a stiff robot arm hits an operator. Introducing compliance into robot systems reduces the impact and enables safe interaction, but at the expense of positioning performance and payload capacity. This paper presents a tunable stiffness mechanism for safe human-robot interaction based on discrete layer jamming. The proposed design of a discrete layer jamming mechanism is a robot link made of multiple thin layers of ABS and multiple clamps. By applying high clamping pressure to the laminates, the link behaves like a rigid link; reducing the clamping pressure softens the link which yields safer human-robot interaction. Compared to conventional pneumatic layer jamming, discrete layer jamming allows for simplicity of installation with dynamic actuators, faster control, greater portability since no air supply is needed, and no sealing issues. To validate the concept, this paper investigates a discrete layer jamming beam made of ten ABS laminates and two aluminum clamps that cover 10% of the surface of the beam. Stiffness tests have been performed, showing that around 17 times bending stiffness change is achieved by increasing the clamping pressure of two clamps from 0 to 1 MPa.
Leon M. Headings, Marcelo J. Dapino
ICRA3