Robert Wood

Prof. Robert Wood

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 June 2014 in Advanced Materials
Verified
Journal Article
Closed access
PDF file
JMJoseph T. Muth
Joseph T. Muth
DVDaniel M. Vogt
Daniel M. Vogt
RTRyan L. Truby
Ryan L. Truby
YMYiğit Mengüç
Yiğit Mengüç
DKDavid B. Kolesky
David B. Kolesky
JLJennifer A. Lewis
Jennifer A. Lewis

31 January 2018 in Science Robotics
Verified
Journal Article
Closed access
PDF file
GYGuang-Zhong Yang
Guang-Zhong Yang
JBJim Bellingham
Jim Bellingham
PDPierre E. Dupont
Pierre E. Dupont
PFPeer Fischer
Peer Fischer
LFLuciano Floridi
Luciano Floridi
RWRobert Wood
Robert Wood
One of the ambitions of Science Robotics is to deeply root robotics research in science while developing novel robotic platforms that will enable new scientific discoveries. Of our 10 grand challenges, the first 7 represent underpinning technologies that have a wider impact on all application areas of robotics. For the next two challenges, we have included social robotics and medical robotics as application-specific areas of development to highlight the substantial societal and health impacts that they will bring. Finally, the last challenge is related to responsible innovation and how ethics and security should be carefully considered as we develop the technology further.

4 November 2019 in Nature
Verified
Journal Article
Closed access
Yufeng (Kevin) ChenYufeng (Kevin) Chen
Yufeng (Kevin) Chen
HZHuichan Zhao
Huichan Zhao
JMJie Mao
Jie Mao
Pakpong ChirarattananonPakpong Chirarattananon
Pakpong Chirarattananon
EHE. Farrell Helbling
E. Farrell Helbling
RWRobert Wood
Robert Wood

20 January 2016 in Soft Robotics
Verified
Journal Article
Open access
KGKevin C. Galloway
Kevin C. Galloway
KBKaitlyn P. Becker
Kaitlyn P. Becker
BPBrennan Phillips
Brennan Phillips
JKJordan Kirby
Jordan Kirby
SLStephen Licht
Stephen Licht
DGDavid F. Gruber
David F. Gruber
This article presents the development of an underwater gripper that utilizes soft robotics technology to delicately manipulate and sample fragile species on the deep reef. Existing solutions for deep sea robotic manipulation have historically been driven by the oil industry, resulting in destructive interactions with undersea life. Soft material robotics relies on compliant materials that are inherently impedance matched to natural environments and to soft or fragile organisms. We demonstrate design principles for soft robot end effectors, bench-top characterization of their grasping performance, and conclude by describing in situ testing at mesophotic depths. The result is the first use of soft robotics in the deep sea for the nondestructive sampling of benthic fauna.

27 November 2017 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Open access
PDF file
SLShuguang Li
Shuguang Li
DVDaniel M. Vogt
Daniel M. Vogt
DRDaniela Rus
Daniela Rus
RWRobert Wood
Robert Wood
Significance: Artificial muscles are flexible actuators with capabilities similar to, or even beyond, natural muscles. They have been widely used in many applications as alternatives to more traditional rigid electromagnetic motors. Numerous studies focus on rapid design and low-cost fabrication of artificial muscles with customized performances. Here, we present an architecture for fluidic artificial muscles with unprecedented performance-to-cost ratio. These artificial muscles can be programed to produce not only a single contraction but also complex multiaxial actuation, and even controllable motion with multiple degrees of freedom. Moreover, a wide variety of materials and fabrication processes can be used to build the artificial muscles with other functions beyond basic actuation.

28 June 2010 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
EHE. Hawkes
E. Hawkes
BAB. An
B. An
NBN. M. Benbernou
N. M. Benbernou
HTHiroto Tanaka
Hiroto Tanaka
SKS. Kim
S. Kim
RWRobert Wood
Robert Wood
Programmable matter is a material whose properties can be programmed to achieve specific shapes or stiffnesses upon command. This concept requires constituent elements to interact and rearrange intelligently in order to meet the goal. This paper considers achieving programmable sheets that can form themselves in different shapes autonomously by folding. Past approaches to creating transforming machines have been limited by the small feature sizes, the large number of components, and the associated complexity of communication among the units. We seek to mitigate these difficulties through the unique concept of self-folding origami with universal crease patterns. This approach exploits a single sheet composed of interconnected triangular sections. The sheet is able to fold into a set of predetermined shapes using embedded actuation. To implement this self-folding origami concept, we have developed a scalable end-to-end planning and fabrication process. Given a set of desired objects, the system computes an optimized design for a single sheet and multiple controllers to achieve each of the desired objects. The material, called programmable matter by folding, is an example of a system capable of achieving multiple shapes for multiple functions.