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Dive into the research topics where Steven Keating is active.

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Featured researches published by Steven Keating.


international conference on robotics and automation | 2012

Design and Analysis of a Robust, Low-cost, Highly Articulated manipulator enabled by jamming of granular media

Nadia G. Cheng; Maxim Lobovsky; Steven Keating; Adam M. Setapen; Katy I. Gero; A. E. Hosoi; Karl Iagnemma

Hyper-redundant manipulators can be fragile, expensive, and limited in their flexibility due to the distributed and bulky actuators that are typically used to achieve the precision and degrees of freedom (DOFs) required. Here, a manipulator is proposed that is robust, high-force, low-cost, and highly articulated without employing traditional actuators mounted at the manipulator joints. Rather, local tunable stiffness is coupled with off-board spooler motors and tension cables to achieve complex manipulator configurations. Tunable stiffness is achieved by reversible jamming of granular media, which-by applying a vacuum to enclosed grains-causes the grains to transition between solid-like states and liquid-like ones. Experimental studies were conducted to identify grains with high strength-to-weight performance. A prototype of the manipulator is presented with performance analysis, with emphasis on speed, strength, and articulation. This novel design for a manipulator-and use of jamming for robotic applications in general-could greatly benefit applications such as human-safe robotics and systems in which robots need to exhibit high flexibility to conform to their environments.


PLOS ONE | 2015

DNA Assembly in 3D Printed Fluidics

William G Patrick; Alec A. K. Nielsen; Steven Keating; Taylor Levy; Che-Wei Wang; Jaime Rivera; Octavio Mondragon-Palomino; Peter A. Carr; Christopher A. Voigt; Neri Oxman; David S Kong

The process of connecting genetic parts—DNA assembly—is a foundational technology for synthetic biology. Microfluidics present an attractive solution for minimizing use of costly reagents, enabling multiplexed reactions, and automating protocols by integrating multiple protocol steps. However, microfluidics fabrication and operation can be expensive and requires expertise, limiting access to the technology. With advances in commodity digital fabrication tools, it is now possible to directly print fluidic devices and supporting hardware. 3D printed micro- and millifluidic devices are inexpensive, easy to make and quick to produce. We demonstrate Golden Gate DNA assembly in 3D-printed fluidics with reaction volumes as small as 490 nL, channel widths as fine as 220 microns, and per unit part costs ranging from


Nature Communications | 2015

Multi-scale thermal stability of a hard thermoplastic protein-based material

Victoria M. Latza; Paul A. Guerette; Dawei Ding; Shahrouz Amini; Akshita Kumar; Ingo Schmidt; Steven Keating; Neri Oxman; James C. Weaver; Peter Fratzl; Ali Miserez; Admir Masic

0.61 to


PLOS ONE | 2016

3D Printed Multimaterial Microfluidic Valve.

Steven Keating; Maria Isabella B. Gariboldi; William G Patrick; Sunanda Sharma; David S Kong; Neri Oxman

5.71. A 3D-printed syringe pump with an accompanying programmable software interface was designed and fabricated to operate the devices. Quick turnaround and inexpensive materials allowed for rapid exploration of device parameters, demonstrating a manufacturing paradigm for designing and fabricating hardware for synthetic biology.


Science Robotics | 2017

Toward site-specific and self-sufficient robotic fabrication on architectural scales

Steven Keating; Julian Leland; Levi Cai; Neri Oxman

Although thermoplastic materials are mostly derived from petro-chemicals, it would be highly desirable, from a sustainability perspective, to produce them instead from renewable biopolymers. Unfortunately, biopolymers exhibiting thermoplastic behaviour and which preserve their mechanical properties post processing are essentially non-existent. The robust sucker ring teeth (SRT) from squid and cuttlefish are one notable exception of thermoplastic biopolymers. Here we describe thermoplastic processing of squid SRT via hot extrusion of fibres, demonstrating the potential suitability of these materials for large-scale thermal forming. Using high-resolution in situ X-ray diffraction and vibrational spectroscopy, we elucidate the molecular and nanoscale features responsible for this behaviour and show that SRT consist of semi-crystalline polymers, whereby heat-resistant, nanocrystalline β-sheets embedded within an amorphous matrix are organized into a hexagonally packed nanofibrillar lattice. This study provides key insights for the molecular design of biomimetic protein- and peptide-based thermoplastic structural biopolymers with potential biomedical and 3D printing applications.


Archive | 2014

A Compound Arm Approach to Digital Construction

Steven Keating; Nathan A. Spielberg; John Klein; Neri Oxman

We present a novel 3D printed multimaterial microfluidic proportional valve. The microfluidic valve is a fundamental primitive that enables the development of programmable, automated devices for controlling fluids in a precise manner. We discuss valve characterization results, as well as exploratory design variations in channel width, membrane thickness, and membrane stiffness. Compared to previous single material 3D printed valves that are stiff, these printed valves constrain fluidic deformation spatially, through combinations of stiff and flexible materials, to enable intricate geometries in an actuated, functionally graded device. Research presented marks a shift towards 3D printing multi-property programmable fluidic devices in a single step, in which integrated multimaterial valves can be used to control complex fluidic reactions for a variety of applications, including DNA assembly and analysis, continuous sampling and sensing, and soft robotics.


Archive | 2013

Robotic Immaterial Fabrication

Steven Keating; Neri Oxman

An on-site mobile robotic platform autonomously constructed an open dome with complex curvature and variable wall thickness. Contemporary construction techniques are slow, labor-intensive, dangerous, expensive, and constrained to primarily rectilinear forms, often resulting in homogenous structures built using materials sourced from centralized factories. To begin to address these issues, we present the Digital Construction Platform (DCP), an automated construction system capable of customized on-site fabrication of architectural-scale structures using real-time environmental data for process control. The system consists of a compound arm system composed of hydraulic and electric robotic arms carried on a tracked mobile platform. An additive manufacturing technique for constructing insulated formwork with gradient properties from dynamic mixing was developed and implemented with the DCP. As a case study, a 14.6-m-diameter, 3.7-m-tall open dome formwork structure was successfully additively manufactured on site with a fabrication time under 13.5 hours. The DCP system was characterized and evaluated in comparison with traditional construction techniques and existing large-scale digital construction research projects. Benefits in safety, quality, customization, speed, cost, and functionality were identified and reported upon. Early exploratory steps toward self-sufficiency—including photovoltaic charging and the sourcing and use of local materials—are discussed along with proposed future applications for autonomous construction.


Robotics and Computer-integrated Manufacturing | 2013

Compound fabrication: A multi-functional robotic platform for digital design and fabrication

Steven Keating; Neri Oxman

We introduce a novel large-scale Digital Construction Platform (DCP) for on-site sensing, analysis, and fabrication. The DCP is an in-progress research project consisting of a compound robotic arm system comprised of a 5-axis Altec hydraulic mobile boom arm attached to a 6-axis KUKA robotic arm. Akin to the biological model of human shoulder and hand this compound system utilizes the large boom arm for gross positioning and the small robotic arm for fine positioning and oscillation correction respectively. The platform is based on a fully mobile truck vehicle with a working reach diameter of over 80 feet. It can handle a 1,500 lb lift capacity and a 20 lb manipulation capacity. We report on the progress of the DCP and speculate on potential applications including fabrication of non-standard architectural forms, integration of real-time on-site sensing data, improvements in construction efficiency, enhanced resolution, lower error rates, and increased safety. We report on a case study for platform demonstration through large-scale 3D printing of insulative formwork for castable structures. We discuss benefits and potential future applications.


Archive | 2011

Functionally Graded Rapid Prototyping

Neri Oxman; Steven Keating; Elizabeth Tsai

In this work a KUKA KR5 sixx R850 robotic arm was transformed into a novel multi-fabrication platform capable of additive, subtractive, formative, and immaterial fabrication processes. We define immaterial fabrication as a novel class of fabrication category where material properties are manipulated without direct mechanical forces to create design environments and objects. Design studies discussed in this paper include real-time light renders generated by dynamic control of light sources and annealed patterns created by manipulating heat fields. The paper focuses on the immaterial sensing and fabrication processes developed, including volumetric scanning measurements of optical, thermal, magnetic, and electromagnetic fields and methods of spatial data output. In addition, the concept of informed fabrication utilizing roboticallycontrolled environmental sensing to influence and inform fabrication is discussed, explored, and demonstrated.


Archive | 2013

Methods and Apparatus for Computer-Assisted Spray Foam Fabrication

Steven Keating; Neri Oxman

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Neri Oxman

Massachusetts Institute of Technology

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David S Kong

Massachusetts Institute of Technology

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Alec A. K. Nielsen

Massachusetts Institute of Technology

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Che-Wei Wang

Massachusetts Institute of Technology

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Christopher A. Voigt

Massachusetts Institute of Technology

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Jaime Rivera

Massachusetts Institute of Technology

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John Klein

Massachusetts Institute of Technology

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Octavio Mondragon-Palomino

Massachusetts Institute of Technology

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Peter A. Carr

Massachusetts Institute of Technology

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