21 papers · ranked by Valyu relevance
Michael Tetteh, Douglas Mota Dias, Conor Ryan
The evolution of complex circuits remains a challenge for the Evolvable Hardware field in spite much effort. There are two major issues: the amount of testing required and the low evolvability of representation structures to handle complex circuitry, at least partially due to the destructive effects of genetic…
Mike Bilby, Edgar Buchanan, Léni K. Le Goff, Emma Hart + 7 more
The evolutionary robotics field offers the possibility of autonomously generating robots that are adapted to desired tasks by iteratively optimising across successive generations of robots with varying configurations until a high-performing candidate is found. The prohibitive time and cost of actually building this…
Juan Lanchares, Óscar Garnica, José L. Risco‐Martín, J. Ignacio Hidalgo + 2 more
'J. Ignacio Hidalgo' 'J. Manuel Colmenar' 'Alfredo Cuesta-Infante'] The design of a cusp-like digital pulse shaper for particle energy measurements requires the definition of four parameters whose values are defined based on the nature of the shaper input signal (timing, noise, . . . ) provided by a sensor. However…
Dario Floreano, Laurent Keller
Experimental evolution has also been used to coevolve artificial brains and morphologies of simulated robots. In a pioneering study, Karl Sims used a competitive scenario where the fitness of two opponent robots was proportional to their ability to gain control of a cube placed in the centre of an arena . The…
François Patou, Fatima AlZahra’a Alatraktchi, Claus Kjægaard, Maria Dimaki + 3 more
'Maria Dimaki' 'Jan Madsen' 'Winnie E. Svendsen' 'Sandeep Kumar Vashist'] The association of smart mobile devices and lab-on-chip technologies offers unprecedented opportunities for the emergence of direct-to-consumer in vitro medical diagnostics applications. Despite their clear transformative potential, obstacles…
Jennifer Y. Gerasimov, Deyu Tu, Vivek Hitaishi, Padinhare Cholakkal Harikesh + 8 more
'Padinhare Cholakkal Harikesh' 'Chi‐Yuan Yang' 'Tobias Abrahamsson' 'Meysam Rad' 'Mary J. Donahue' 'Malin Silverå Ejneby' 'Magnus Berggren' 'Robert Forchheimer' 'Simone Fabiano'] Future brain-computer interfaces will require local and highly individualized signal processing of fully integrated electronic circuits…
David M. Bryson, Charles Ofria, Chrisantha Fernando
We investigate fundamental decisions in the design of instruction set architectures for linear genetic programs that are used as both model systems in evolutionary biology and underlying solution representations in evolutionary computation. We subjected digital organisms with each tested architecture to seven different…
Gongjin Lan, Maarten van Hooft, Matteo De Carlo, Jakub M. Tomczak + 1 more
'A. E. Eiben'] The challenge of robotic reproduction –making of new robots by recombining two existing ones– has been recently cracked and physically evolving robot systems have come within reach. Here we address the next big hurdle: producing an adequate brain for a newborn robot. In particular, we address the task of…
David Bryson, Charles Ofria
We investigate fundamental decisions in the design of instruction set architectures for linear genetic programs that are used as both model systems in evolutionary biology and underlying solution representations in evolutionary computation. We subjected digital organisms with each tested architecture to seven different…
Hiroyuki Nakagawa, Shinya Tsuchida, Emiliano Tramontana, Andrea Fornaia + 1 more
'Andrea Fornaia' 'Tatsuhiro Tsuchiya'] Abstract—Embedded systems including IoT devices are designed for specialized functions; thus, changes in functions are not considered following their release. For this reason, changing functions to satisfy the requirements of IoT systems is difficult. In this study, we focus on…
Milton L. Montero, Erwan Plantec, Eleni Nisioti, Joachim Winther Pedersen + 1 more
'Joachim Winther Pedersen' 'Sebastian Risi'] Representations for black-box optimization methods (such as evolutionary algorithms) are traditionally constructed using a delicate manual process. This is in contrast to the representation that maps DNAs to phenotypes in biological organisms, which is at the heart of…
Bhaskar Kumawat, Alexander Lalejini, Monica Acosta, Luis Zaman
Evolvability is defined as the capacity of populations to generate adaptive variation that promotes evolution by natural selection^1–4^. Lineages in a fluctuating environment must rapidly adapt to different states of the environment to survive. One possible solution is for populations to evolve increased evolvability.…
Rachel K Staples, Tim F. Cooper
Evolvability describes the potential of a population to generate beneficial variation. Several mechanisms that increase evolvability have been demonstrated, including the action of systems that reveal accumulated beneficial variants following an environmental shift. We examine the basis of an increase in the…
Morgan E. Mouchka, Dillon M. Dorsey, Genna L. Malcangio, Sarah J. Medina + 2 more
The concept of evolvability (the capacity of populations to evolve) has deep historical roots in evolutionary biology. Interest in the subject has been renewed recently by innovations in microbiology that permit direct tests of the causes of evolvability, and with the acknowledgement that evolvability of pathogens has…
Ivan Kondratyev, Weinan Sun
AI coding assistants excel at software tasks but lack structured access to laboratory hardware, the physical instruments that define experimental science. We present Ataraxis, an open-source framework that provides hardware control capabilities spanning camera acquisition, microcontroller communication, precision…
Erin Looney, Andre Buscariolli, Maria Yang, Geoffrey Raymond + 2 more
Hardware-based startups risk having longer times-to-market, deterring investment in critical fields such as cleantech, medical devices, and automation. We interviewed 55 leaders at hardware startups, mapped their development timelines, and found prototyping to be the longest development step (median of 19 weeks per…
Karine Miras
Phenotypic plasticity is usually defined as a property of individual genotypes to produce different phenotypes when exposed to different environmental conditions. While the benefits of plasticity for adaptation are well established, the costs associated with plasticity remain somewhat obscure. Understanding both why…
Authors not listed
This paper details a 3D-printed plate handler designed to address the limitation of automated plate manipulation within the Opentrons OT-2 liquid handling robot. The hardware enables precise, automated labware transfer, expanding the OT-2’s capabilities for complex biological and chemical assays. Technically, it…
Sander Baas, Vittorio Saggiomo
Ender 3 syringe pumps is an open source and open hardware device for converting an Ender 3 kit to a set of 3 syringe pumps. Almost everything needed for the build is the Ender 3 kit, even all the screws and the tools needed for the assembly. The only parts which needed to be bought are three 5x5 shaft couplers and M5…
Authors not listed
Despite the promise of self-driving laboratories to accelerate discovery, their widespread implementation is hindered by prohibitive cost and technical complexity. We introduce BrickSDLab, a fully functional self-driving lab platform built entirely from LEGO® components, designed to bridge this accessibility gap.…
Authors not listed
In experimental chemistry, actions are adjusted based on what we see—such as dosing until dissolution, heating until melting, or stirring until mixing is complete. However, current self-driving labs (SDLs) do not monitor these visual cues. HeinSight 4.0 fills this gap by integrating computer vision into SDLs to enable…