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Deepak Trivedi

dblp:50/1295 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2008
0009-0005-0882-5511ORCID · corroborated

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

Artificial intelligence and machine learning · 2 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorApplied, 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
1 paper
Robot manipulation · 100%
Databases, data mining, and information retrieval
1 paper
Data mining · 100%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Environmental and earth informatics · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation › soft robotics
soft manipulator modeling
0.112008
Geometrically Exact Models for Soft Robotic Manipulators · IEEE Trans. Robotics 2008
Environmental and earth informatics › meteorology
meteorological analysis
0.012004
Weather Data Mining Using Independent Component Analysis · J. Mach. Learn. Res. 2004

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

independent component analysis · 0.1cosserat rod theory · 0.1
YearPublicationVenuePosition
2008 Geometrically Exact Models for Soft Robotic Manipulators
abstract
Unlike traditional rigid linked robots, soft robotic manipulators can bend into a wide variety of complex shapes due to control inputs and gravitational loading. This paper presents a new approach for modeling soft robotic manipulators that incorporates the effect of material nonlinearities and distributed weight and payload. The model is geometrically exact for the large curvature, shear, torsion, and extension that often occur in these manipulators. The model is based on the geometrically exact Cosserat rod theory and a fiber reinforced model of the air muscle actuators. The model is validated experimentally on the OctArm V manipulator, showing less than 5% average error for a wide range of actuation pressures and base orientations as compared to almost 50% average error for the constant-curvature model previously used by researchers. Workspace plots generated from the model show the significant effects of self-weight on OctArm V.
Deepak Trivedi, Amir Lotfi, Christopher D. Rahn
IEEE Trans. Robotics1
2007 Geometrically exact dynamic models for soft robotic manipulators
abstract
Unlike traditional rigid-linked robots, soft robotic manipulators can bend into a wide variety of complex shapes due to control inputs and gravitational loading. This paper presents a new approach for modeling the dynamics of soft robotic manipulators that incorporates the effect of material nonlinearities and distributed and payload weight and is geometrically exact for the large curvature, shear, torsion and extension that often occur in these manipulators. The model is based on the general Cosserat theory of rods and a fiber reinforced model of air muscle actuators. The model is validated experimentally on the OctArm V manipulator, showing less that 5% average error for a wide range of actuation pressures and base orientations as compared to almost 50% average error for the constant curvature model previously used by researchers.
Deepak Trivedi, Amir Lotfi, Christopher D. Rahn
IROS1
2004 Weather Data Mining Using Independent Component Analysis
Jayanta Basak, Anant Sudarshan, Deepak Trivedi, M. S. Santhanam
J. Mach. Learn. Res.3