Modelo de un grupo de robots colaboradores cazadores

El nombre d'aplicacions dels microrobots en biomedicina creix a mesura que el seu desenvolupament avança. Entre elles hi ha les consistents a examinar cèl·lules amb microrobots cooperants. En aquest treball es presenta un prototip a escala d'aquest problema, convenientment simplificat: dos robots tracten d'agafar una pilota que representa la cèl·lula que s'examina. Com a resultat, s'ha obtingut un algorisme deliberatiu per a la resolució d'aquest problema amb robots homogenis.

Estudi de comportaments socials amb eixams de robots reconfigurables

Els eixams de robots distribuïts representen tot un món de possibilitats al camp de la microrobòtica, però existeixen pocs estudis que n'analitzin els comportaments socials i les interaccions entre robots autònoms distribuïts. Aquests comportaments han de permetre assolir de la manera més efectiva possible un bon resultat. Prenent com a base l'objectiu esmentat, aquest treball detalla diferents polítiques de cerca i de reconfiguració dels robots i estudia els seus comportaments per tal de determinar quins d'ells són més útils per solucionar un problema concret amb les plagues d'erugues i corcs als camps de cigroneres.

Implementación de movimientos suaves en robots industriales mediante splines cúbicos: aplicación a un laboratorio remoto de robótica

La solución a los problemas de disponibilidad horaria para la realización de sesiones prácticas por parte de los estudiantes se encuentra en los laboratorios remotos, que permiten a estos interactuar con los elementos instalados en los laboratorios sin necesidad de estar presentes físicamente. Este proyecto pretende crear un laboratorio remoto para la asignatura “Robótica y Automatización Industrial” impartida en la ETSE, UAB, en el cual los estudiantes puedan ejecutar trayectorias de tipo spline cúbico en un brazo robot y observar a través de vídeo en tiempo real los movimientos del robot desde cualquier lugar con conexión a Internet.

A distributed environment for virtual and/or real experiments for underwater robots

This paper presents the distributed environment for virtual and/or real experiments for underwater robots (DEVRE). This environment is composed of a set of processes running on a local area network composed of three sites: 1) the onboard AUV computer; 2) a surface computer used as human-machine interface (HMI); and 3) a computer used for simulating the vehicle dynamics and representing the virtual world. The HMI can be transparently linked to the real sensors and actuators dealing with a real mission. It can also be linked with virtual sensors and virtual actuators, dealing with a virtual mission. The aim of DEVRE is to assist engineers during the software development and testing in the lab prior to real experiments

The evolution of information suppression in communicating robots with conflicting interests.

Reliable information is a crucial factor influencing decision-making and, thus, fitness in all animals. A common source of information comes from inadvertent cues produced by the behavior of conspecifics. Here we use a system of experimental evolution with robots foraging in an arena containing a food source to study how communication strategies can evolve to regulate information provided by such cues. The robots could produce information by emitting blue light, which the other robots could perceive with their cameras. Over the first few generations, the robots quickly evolved to successfully locate the food, while emitting light randomly. This behavior resulted in a high intensity of light near food, which provided social information allowing other robots to more rapidly find the food. Because robots were competing for food, they were quickly selected to conceal this information. However, they never completely ceased to produce information. Detailed analyses revealed that this somewhat surprising result was due to the strength of selection on suppressing information declining concomitantly with the reduction in information content. Accordingly, a stable equilibrium with low information and considerable variation in communicative behaviors was attained by mutation selection. Because a similar coevolutionary process should be common in natural systems, this may explain why communicative strategies are so variable in many animal species.

Relatedness influences signal reliability in evolving robots.

Communication is an indispensable component of animal societies, yet many open questions remain regarding the factors affecting the evolution and reliability of signalling systems. A potentially important factor is the level of genetic relatedness between signallers and receivers. To quantitatively explore the role of relatedness in the evolution of reliable signals, we conducted artificial evolution over 500 generations in a system of foraging robots that can emit and perceive light signals. By devising a quantitative measure of signal reliability, and comparing independently evolving populations differing in within-group relatedness, we show a strong positive correlation between relatedness and reliability. Unrelated robots produced unreliable signals, whereas highly related robots produced signals that reliably indicated the location of the food source and thereby increased performance. Comparisons across populations also revealed that the frequency for signal production-which is often used as a proxy of signal reliability in empirical studies on animal communication-is a poor predictor of signal reliability and, accordingly, is not consistently correlated with group performance. This has important implications for our understanding of signal evolution and the empirical tools that are used to investigate communication.

Using robots to understand social behaviour.

A major challenge in studying social behaviour stems from the need to disentangle the behaviour of each individual from the resulting collective. One way to overcome this problem is to construct a model of the behaviour of an individual, and observe whether combining many such individuals leads to the predicted outcome. This can be achieved by using robots. In this review we discuss the strengths and weaknesses of such an approach for studies of social behaviour. We find that robots-whether studied in groups of simulated or physical robots, or used to infiltrate and manipulate groups of living organisms-have important advantages over conventional individual-based models and have contributed greatly to the study of social behaviour. In particular, robots have increased our understanding of self-organization and the evolution of cooperative behaviour and communication. However, the resulting findings have not had the desired impact on the biological community. We suggest reasons for why this may be the case, and how the benefits of using robots can be maximized in future research on social behaviour.

Historical contingency affects signaling strategies and competitive abilities in evolving populations of simulated robots.

One of the key innovations during the evolution of life on earth has been the emergence of efficient communication systems, yet little is known about the causes and consequences of the great diversity within and between species. By conducting experimental evolution in 20 independently evolving populations of cooperatively foraging simulated robots, we found that historical contingency in the occurrence order of novel phenotypic traits resulted in the emergence of two distinct communication strategies. The more complex foraging strategy was less efficient than the simpler strategy. However, when the 20 populations were placed in competition with each other, the populations with the more complex strategy outperformed the populations with the less complex strategy. These results demonstrate a tradeoff between communication efficiency and robustness and suggest that stochastic events have important effects on signal evolution and the outcome of competition between distinct populations.

Learning and adaptation in physical heterogeneous teams of robots

In this paper we present a novel approach to assigning roles to robots in a team of physical heterogeneous robots. Its members compete for these roles and get rewards for them. The rewards are used to determine each agent’s preferences and which agents are better adapted to the environment. These aspects are included in the decision making process. Agent interactions are modelled using the concept of an ecosystem in which each robot is a species, resulting in emergent behaviour of the whole set of agents. One of the most important features of this approach is its high adaptability. Unlike some other learning techniques, this approach does not need to start a whole exploitation process when the environment changes. All this is exemplified by means of experiments run on a simulator. In addition, the algorithm developed was applied as applied to several teams of robots in order to analyse the impact of heterogeneity in these systems

Water-soluble nutrients in aerial plant parts of peanut and white oat as affected by lime and gypsum application

Lime and gypsum influence nutrient availability and uptake, as well as the content of organic acids in the aerial plant parts. These changes, quantified by plant analysis of soluble nutrients, may potentiate the effect of soil amendment, ensuring the sustainability of the no-tillage system. In this sense the effect of lime and gypsum surface application on the content of water-soluble nutrients in peanut and oat residues was evaluated. The experiment was conducted on an Oxisol in Botucatu (SP) in the growing seasons 2004/2005 and 2005/2006. It was arranged in a randomized block design in split plots with four replications, where lime rates represented the plots and presence or absence of gypsum application the subplots. Peanut was grown in summer and white oat in the winter in the entire experimental area. Gypsum applied to peanut increased soluble Ca only in the first season, due to the short period between product application and determination of soluble nutrient contents in the plant extract. Liming of peanut and oat increased soluble Ca, Mg, K contents, did not alter Cu content and reduced Zn, Mn and Fe contents in both years of cultivation. Gypsum on the other hand reduced the electrical conductivity of peanut (2004/2005 and 2005/2006) and white oat (2004/2005).

La convivencia con los cyborgs y los robots: Consideraciones filosóficas, ético-morales y sociopolíticas

In this work, we present the cultural evolution that has allowed to overcome many problems derived from the limitations of the human body. These limitations have been solved by a"cyborization" process that began since early anthropogenesis. Originally, it was envisioned to deal with some diseases, accidents or body malfunctions. Nowadays, augmentations improve common human capabilities; one of the most notable is the increase of brain efficiency by using connections with a computer. A basic social question also addressed is which people will and should have access to these augmentations. Advanced humanoid robots (with human external aspect, artificial intelligence and even emotions) already exist and consequently a number of questions arise. For instance, will robots be considered living organisms? Could they be considered as persons? Will we confer the human status to robots? These questions are discussed. Our conclusions are that the advanced humanoid robots display some actions that may be considered as life-like, yet different to the life associated with living organisms, also, to some extend they could be considered as persons-like, but not humans.

Reflexiones sobre los cyborgs y los robots: evolucion humana y aumentacion

The human being has changed in time due to both, biological and cultural evolution. In a first step, biological evolution was the cornerstone of the changes in our species. However, cultural evolution was also a key element producing adaptations that allowed the evolution of modern human being. These adaptations include aspects as different as clothing, tools, reading and writing, calculation and some forms of rudimentary prosthesis. Technoscience has enhanced these adaptations that conduce to the concept of broad-sense cyborg. Present human society includes a huge proportion of these latter individuals. In this article we discuss this reality and the future of our society based on the interconnections between humans, cyborgs and robots.