Log_36PDF_cover.jpg
Store

PDF: Log 36

$18.00

Winter 2016

Guest edited by architect Greg Lynn, Log 36: ROBOLOG explores the challenges and potentials posed to architecture by the rapidly accelerating field of robotics. Tossing aside the usual fabrication-focused discourse around robots, the 23 contributors to ROBOLOG investigate topics ranging from hyperrealistic robotic drag queens to machine vision to buildings that move. In addition to a collection of thought-provoking essays, this issue includes conversations with Elizabeth Diller, Nicholas de Monchaux and Ken Goldberg, and Chuck Hoberman. Rather than providing easy answers or touting cutting-edge technologies, ROBOLOG offers provocations to both architects and theorists. Robotic sensors, actuators, and networks have fundamentally transformed the world around us. What will architecture choose to do with them?

Printing is restricted on Log PDFs. For academic use and distribution, contact Copyright Clearance Center.

Add To Cart
Log_36PDF_cover.jpg
PDF: Log 61

PDF: Log 61

$18.00
PDF: Log 11

PDF: Log 11

$18.00
PDF: Log 35

PDF: Log 35

$18.00
PDF: Log 49

PDF: Log 49

$18.00
PDF: Log 2

PDF: Log 2

$18.00

Additional Info

Contents

Paola Antonelli, Do Humans Dream of Robotic Seals?

Erin Besler & Ian Besler, Along the Frontier of Resolution

Jacob Comerci, The Robot of Kunsthal I

Thomas Daniell, Bug Eyes and Blockhead

Nicholas de Monchaux & Ken Goldberg, Death and Robots

Cynthia Davidson, Moving Parts: A Conversation with Elizabeth Diller

Adam Fure, Meat Helmet

Chuck Hoberman & Greg Lynn, Transforming Geometries

Greg Lynn, Giant Robots

Güvenç Özel, Toward a Postarchitecture

Antoine Picon, Free the Robots!

François Roche & Camille Lacadée, MMYST vs. concrete[i]land

Fred Scharmen, Home Tweet Home

Alex Schweder, The Sound and the Future

Chelsea Spencer & Johannes Staudt, Après Mies Le Déluge

Jordan Squires, The Turk

Patrick Tresset, Sketches by Paul-I

Andrew Witt, Cartogramic Metamorphologies; or, Enter the RoweBot

Liam Young, An Atlas of Fiducial Landscapes: Touring the Architectures of Machine Vision