Morphogenetic Engineering
Toward Programmable Complex Systems
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We describe a new class of decentralised control algorithms that link local wireless connectivity to low-level robot motion control in order to maintain both swarm aggregation and connectivity, which we term “...
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The engineering of grown systems poses fundamentally different system integration challenges than ordinary engineering of static designs. On the one hand, a grown system must be capable of surviving not only i...
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Generally, phenomena of spontaneous pattern formation are random and repetitive, whereas elaborate devices are the deterministic product of human design. Yet, biological organisms and collective insect constru...
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Over the past two decades, many techniques have been elaborated to simulate artificial, robotic creatures at different scales. After behavioral models in the 1990s, researchers made the robot morphologies evolvab...
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By morphogenetic robotics, we mean a class of methodologies for designing self-organizing, self-reconfigurable and self-adaptive robots inspired by biological morphogenesis. We categorize these methodologies into...
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In this chapter, we advocate a domain specific language (DSL) approach to overcome the difficulties of modeling and simulating morphogenetic processes. A careful discussion of the design goals of a DSL leads to t...
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Social insects build large, complex structures, which emerge through the collective actions of many simple agents acting with no centralized control or preplanning. These natural systems inspire the research t...
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Swarms are a metaphor for complex dynamic systems. In swarms, large numbers of individuals locally interact and form non-linear, dynamic interaction networks. Ants, wasps and termites, for instance, are natura...
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Throughout nature, in both the inorganic and organic realms, complex entities emerge as a result of self-assembly from decentralised components governed by simple rules. Natural self-assembly is dictated by th...
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Motivated by the ability of living cells to form specific shapes and structures, we are investigating chemotaxis-inspired cellular primitives for self-organizing shape formation. This chapter details our initi...
Book
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Embryomorphic Engineering, a particular instance of Morphogenetic Engineering, takes its inspiration directly from biological development to create new robotic, software or network architectures by decentralized ...
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We argue that artificial development is an appropriate means of approaching complex systems engineering. Artificial development works via the inclusion of mechanisms that enhance the evolvability of a design s...
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We detail progress towards giving robots the capacity to assemble into appropriate morphologies and to operate as a single entity when physically connected to one another. Our work is conducted on the Swarm-bo...
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The hierarchical organisation of biological systems plays a crucial role in processes of pattern formation regulated by gene expression, and in morphogenesis in general. Inspired by the development of living o...
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We present distributed morphogenesis control strategies in a swarm of robots able to autonomously assemble into 3D symbiotic organisms to perform specific tasks. Each robot in such a system can work autonomous...
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Evolution has shaped an incredible diversity of multicellular living organisms, whose complex forms are self-made through a robust developmental process. This fundamental combination of biological evolution an...
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Robot swarms provide interesting and potentially very useful examples of self-organizing systems. This chapter focuses on a specific approach, dubbed “active self-assembly”, for constructing arbitrary shapes w...
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The morphology of forage grass, in particular ryegrass, emerges from the combination of many entangled dynamical processes. Although a plant seems to possess an intrinsic (i.e., genetically determined) architectu...
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We present a swarm-based framework for designing and implementing morphogenetic artifacts that can grow, self-organize and self-repair in a fully decentralized manner. Artifacts are realized as swarms of multi...