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Andrew D. Marchese

Researcher at Massachusetts Institute of Technology

Publications -  37
Citations -  2607

Andrew D. Marchese is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Soft robotics & Robotic arm. The author has an hindex of 17, co-authored 37 publications receiving 2041 citations. Previous affiliations of Andrew D. Marchese include Harvard University & Amazon.com.

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Journal ArticleDOI

Autonomous Soft Robotic Fish Capable of Escape Maneuvers Using Fluidic Elastomer Actuators.

TL;DR: It is shown that soft robots can be both self-contained and capable of rapid body motion, and during escape responses, the soft-bodied robot has similar input-output relationships to those observed in biological fish.
Journal ArticleDOI

A Recipe for Soft Fluidic Elastomer Robots

TL;DR: Three viable actuator morphologies composed entirely from soft silicone rubber are explored, and these morphologies are differentiated by their internal channel structure, namely, ribbed, cylindrical, and pleated.
Journal ArticleDOI

Design, kinematics, and control of a soft spatial fluidic elastomer manipulator

TL;DR: An extremely soft robotic manipulator morphology that is composed entirely from low durometer elastomer, powered by pressurized air, and designed to be both modular and durable is presented.
Book ChapterDOI

Hydraulic Autonomous Soft Robotic Fish for 3D Swimming

TL;DR: An autonomous soft-bodied robotic fish that is hydraulically actuated and capable of sustained swimming in three dimensions is presented, which allows for arbitrary internal fluidic channels, enabling a wide-range of continuous body deformations.
Proceedings ArticleDOI

Design and control of a soft and continuously deformable 2D robotic manipulation system

TL;DR: Results with a robot consisting of six segments show that controlled movement of a soft and highly compliant manipulator is feasible and algorithms to compute the arm's forward and inverse kinematics in a manner consistent with piece-wise constant curvature continuum manipulators are developed.