The elephant in the room: The biomimetic principle in bio-robotics and embodied AI

Selection, growth and form. Turing's two biological paths towards intelligent machinery

We inquire into the role of Turing's biological thought in the development of his concept of intelligent machinery. We trace the possible relations between his proto-connectionist notion of 'organising' machines in Turing (1948) on the one hand and his mathematical theory of morphogenesis in developmental biology (1952) on the other. These works were concerned with distinct fields of inquiry and followed distinct paradigms of biological theory, respectively postulating analogues of Darwinian selection in learning and mathematical laws of form in organic pattern formation. Still, these strands of Turing's work are related, first, in terms of being amenable in principle to his (1936) computational method of modelling. Second, they are connected by Turing's scattered speculations about the possible bearing of learning processes on the anatomy of the brain. We argue that these two theories form an unequal couple that, from different angles and in partial fashion, point towards cognition as a biological and embodied phenomenon while, for reasons inherent to Turing's computational approach to modelling, not being capable of directly addressing it as such. We explore ways in which these two distinct-but-related theories could be more explicitly and systematically connected, using von Neumann's contemporaneous and related work on Cellular Automata and more recent biomimetic approaches as a foil. We conclude that the nature of 'initiative' and the mode of material realisation are the key issues that decide on the possibility of intelligent machinery in Turing.

Minimal logical teleology in artifacts and biology connects the two domains and frames mechanisms via epistemic circularity

The understanding of artifacts and biological phenomena has often influenced each other. This work argues that at the core of these epistemic bridges there are shared teleological notions and explanations manifested in analogies between artifacts and biological phenomena. To this end, I first propose a focus on the logical structure of minimal teleological explanations, which renders said epistemic bridges more evident than an ontological or metaphysical approach to teleology, and which can be used to describe scientific practices in different areas by virtue of formal generality and minimalism (section 2). Second, I show how this approach highlights some epistemic features shared by the understanding of artifacts and biological phenomena, like a specific kind of epistemic circularity, and how functional analogies between artifacts and biological phenomena translate such epistemic circularity from one domain to the other (section 3). Third, I conduct a case study on the scientific practice around the brain's "compass", showing how the understanding of artifacts influences purpose ascription and measurement, and frames mechanisms in biology, especially in areas where purpose ascription is most difficult, like cognitive neuroscience (sections 4 and 5).

Experimental study and geometrical method to design bio-inspired robotic kinematic chains of inching-locomotion caterpillars

Inching-locomotion caterpillars (ILAR) show impressive environmental adaptation, having high dexterity and flexibility. To design robots that mimic these abilities, a novel bioinspired robotic design (BIROD) method is presented. The method is composed by an algorithm for geometrical kinematic analysis (GEKINS) to standardize the proportional dimensions according to the insect's anatomy and obtain the kinematic chains. The approach is experimentally applied to analyze the locomotion and kinematic chain of these specimens:Geometridae-two pair of prolegs (represents 35 000 species) andPlusiinae-three pair of prolegs (represents 400 species). The obtained data indicate that the application of the proposed method permits to locate the attachment mechanisms, joints, links, and to calculate angular displacement, angular average velocity, number of degrees of freedom, and thus the kinematic chain.Geometridaein contrast toPlusiinae, shows a longer walk-stride length, a lower number of single-rotational joints in 2D (3 DOF versus 4 DOF), and a lower number of dual-rotational joints in 3D (6 DOF versus 8 DOF). The application of BIROD and GEKINS provides the forward kinematics for 35 400 ILAR species and are expected to be useful as a preliminary phase for the design of bio-inspired arthropod robots.

From biomimicry to robotic co-creation: rethinking the boundaries between nature and technology

This paper is an invitation to an interdisciplinary dialogue on new possibilities for integrating robotics, design, and nature. I ask: how can new cross-movements between bio-inspired science and design be fostered? How might we envision the future possible intersection between technology and nature? First, I recall key aspects of classical bioinspired engineering and highlight the role of nature in the emergence of technology. Second, I introduce a new approach to bioinspired engineering. In this approach, robots play an active role in design and construction, learning from material properties to form new shapes and thus reshaping design paradigms. The distinctive elements of this approach depart from classical nature-inspired engineering and foster a symbiotic relationship between technology and nature. I conclude by reflecting on the intersections of nature, technology, and design, and envisioning new avenues for interdisciplinary dialogue that foster collaboration and innovation among diverse bio-inspired disciplines.

Imitation in automata and robots: A philosophical case study on Kempelen

With robots being of far-ranging public and academic interest, attempts are made to set these into relation to earlier self-moving machines. Automata from European Enlightenment, especially in the 18th century, are such machines being referenced. The debate revolves around the question whether the design and the purpose of the construction of these automata can be viewed as antedating epistemological conceptualizations formulated with regards to the scientific employment of robotics as a synthetic modeling practice in contemporary life sciences. This paper reflects on a claim made in this context, namely that the construction of 18th century automata and 21st century robots share the epistemic role of simulating the core processes of living organisms and are thus indicative of an epistemological continuity in how organisms are conceived as machines. To philosophically investigate whether such a statement is taking changes in material, political, and technological conditions into account, a case study of Kempelen's Sprechmaschine from 1791 is done. The paper asserts that it should be historicized what makes a machine fit the concept of an automaton--and thus also poses the broader question what extent of caution must be taken in identifying automata with robots.