2008
DOI: 10.1177/0278364907085557
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Miche: Modular Shape Formation by Self-Disassembly

Abstract: Abstract-We describe the design, implementation, and programming of a set of robots that, starting from an amorphous arrangement, can be assembled into arbitrary shapes and then commanded to self-disassemble in an organized manner, to obtain a goal shape. We present custom hardware, distributed algorithms, and experimental results from hundreds of trails which show the system successfully forming complex threedimensional shapes. Each of the 28 modules in the system is implemented as a 1.8-inch autonomous cube-… Show more

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Cited by 137 publications
(95 citation statements)
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“…In our system, generating a description of the goal shape is facilitated by a GUI that allows the user to virtually sculpt the desired shape and then generates a list of inclusion messages that are transmitted to the root and distributed. In [18] we show that this approach is efficient and correct. While the prior proof did not incorporate the concept of ignored modules, their effect is minimal, and we will not repeat the proof here.…”
Section: A Inclusion Message Distributionmentioning
confidence: 82%
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“…In our system, generating a description of the goal shape is facilitated by a GUI that allows the user to virtually sculpt the desired shape and then generates a list of inclusion messages that are transmitted to the root and distributed. In [18] we show that this approach is efficient and correct. While the prior proof did not incorporate the concept of ignored modules, their effect is minimal, and we will not repeat the proof here.…”
Section: A Inclusion Message Distributionmentioning
confidence: 82%
“…A limited amount of past research has focused specifically on the algorithms employed in self-disassembling systems [16], [18], [19]. The work presented here builds on our previous work in [1], [20] on the Robot Pebbles hardware and algorithms.…”
Section: B Related Workmentioning
confidence: 99%
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“…[2,3]), or by considering only quantized actions in quantized spaces (e.g. cellular automata such as [4] or [5], modular robotics such as [6] or [7], or parallel computing such as with StarLisp [8]). …”
Section: Discrete Devices Versus Continuous Space-timementioning
confidence: 99%