2012
DOI: 10.1007/s10514-012-9296-x
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Autonomous construction using scarce resources in unknown environments

Abstract: The goal of creating machines that autonomously perform useful work in a safe, robust and intelligent manner continues to motivate robotics research. Achieving this autonomy requires capabilities for understanding the environment, physically interacting with it, predicting the outcomes of actions and reasoning with this knowledge. Such intelligent physical interaction was at the centre of early robotic investigations and remains an open topic.In this paper, we build on the fruit of decades of research to explo… Show more

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Cited by 36 publications
(16 citation statements)
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“…An example of such approaches is the Big-Canopy, which is the world's first automated construction system for building a precisely defined concrete structure in Japan [11]. Nevertheless, the degree of intelligence exhibited by commerciallyavailable robots is still deemed very limited, as robots are currently deployed only in a small subset of possible applications with low level of localization accuracy [12,31].…”
Section: Introductionmentioning
confidence: 99%
“…An example of such approaches is the Big-Canopy, which is the world's first automated construction system for building a precisely defined concrete structure in Japan [11]. Nevertheless, the degree of intelligence exhibited by commerciallyavailable robots is still deemed very limited, as robots are currently deployed only in a small subset of possible applications with low level of localization accuracy [12,31].…”
Section: Introductionmentioning
confidence: 99%
“…Magnenat et al [273] made robots deploy cubic bricks to bridge gaps and to stack them up as tower constructions. Consistent alignment and cohesion between the bricks was established by magnets.…”
Section: Robots For Biohybrid Constructionmentioning
confidence: 99%
“…Magnenat et al [13] present a system in which a mobile robot manipulates specially designed cubes to build functional structures. The robot explores an unknown environment, performing 2D SLAM and visually recognizing blocks and gaps in the ground.…”
Section: Related Workmentioning
confidence: 99%