308 research outputs found

    Recent trends in robot learning and evolution for swarm robotics

    Get PDF
    Swarm robotics is a promising approach to control large groups of robots. However, designing the individual behavior of the robots so that a desired collective behavior emerges is still a major challenge. In recent years, many advances in the automatic design of control software for robot swarms have been made, thus making automatic design a promising tool to address this challenge. In this article, I highlight and discuss recent advances and trends in offline robot evolution, embodied evolution, and offline robot learning for swarm robotics. For each approach, I describe recent design methods of interest, and commonly encountered challenges. In addition to the review, I provide a perspective on recent trends and discuss how they might influence future research to help address the remaining challenges of designing robot swarms

    Do We Run Large-scale Multi-Robot Systems on the Edge? More Evidence for Two-Phase Performance in System Size Scaling

    Full text link
    With increasing numbers of mobile robots arriving in real-world applications, more robots coexist in the same space, interact, and possibly collaborate. Methods to provide such systems with system size scalability are known, for example, from swarm robotics. Example strategies are self-organizing behavior, a strict decentralized approach, and limiting the robot-robot communication. Despite applying such strategies, any multi-robot system breaks above a certain critical system size (i.e., number of robots) as too many robots share a resource (e.g., space, communication channel). We provide additional evidence based on simulations, that at these critical system sizes, the system performance separates into two phases: nearly optimal and minimal performance. We speculate that in real-world applications that are configured for optimal system size, the supposedly high-performing system may actually live on borrowed time as it is on a transient to breakdown. We provide two modeling options (based on queueing theory and a population model) that may help to support this reasoning.Comment: Submitted to the 2024 IEEE International Conference on Robotics and Automation (ICRA 2024

    Anwendung eines kontinuierlich betriebenen mikrofluidischen Durchflussreaktors fĂŒr die DurchfĂŒhrung organokatalysierter Michael-Additionen

    Get PDF
    Der Katalysator in Durchflussreaktoren soll durch Photopolynerisation immobilisiert werden. Das Ziel ist es unterschiedliche Michael-Additions-Reaktionen in Durchflussreaktoren durchfĂŒhren um danach den Umsatz bei verschieden Bedingungen zu bestimmen. Umdas zu machen werden verschiedene Flussraten benutzt und verschieden Ketonen undNitroolefinen um danach diese Reaktionen zu vergleichen. Durch diese Informationenman kann diskutieren, ob Durchflussreaktors eine optimale ist um Michael-AdditionsReaktionen zu durchfĂŒhren.<br /

    The Influence of Temperature and Drug Concentrations Prednisolone in NIPAAm Copolymer

    Get PDF
    Controlled delivery systems would be more beneficial and ideal if the drug could be delivered with respond to external environmental change. It could be used to overcome the shortcomings of conventional dosage forms. Therefore, the correct amount of drug would be released upon the stimulation of such a temperature and concentration change. The purpose of study is to investigate the influence of temperature and drug concentration from poly(2-hydroxyethyl methacrylate and N-isopropylacrylamide)/poly(HEMA-NIPAAm). The macroporous structure 5HEMA15NIPAAm was showed the most rapid responsiveness in swelling ratio, polymer volume fraction, swelling and deswelling kinetics. The high drug loading capacity was achieved at or below ambient temperature, whilst the release profile was revealed sustain release of conventional anti-inflammatory drug; prednisolone 21 hemisuccinate sodium salt. In general, drug loading capacity and drug diffusion kinetics are influence by the porosity of hydrogels, temperature, and drug concentration

    Chitosan coated alginate beads containing poly(N-isopropylacrylamide) for dual-stimuli-responsive drug release

    Get PDF
    Chitosan coated alginate beads containing poly(N-isopropylacrylamide) (PNIPAAM), were prepared to be used as a controlled pH/temperature sensitive drug delivery system with improved encapsulation efficiency and delayed release rate. The studied beads were characterized by differential scanning calorimetry, scanning electron microscopy, and Fourier transform infrared spectroscopy. Water uptake and release studies using indomethacin as a model drug were also performed. The drug loading efficiency of the beads with the polyelectrolyte complex coating is significantly higher (84%) than that of the uncoated ones (74%). The equilibrium swelling of the developed materials was found to be pH- and thermoresponsive. For all the conditions it was found that the release profile was slower for the coated beads, indicating that the polyelectrolyte complex coating could slow down the release rate effectively. These results suggest that the studied smart system has potential to be used as an effective pH/temperature sustainable delivery system for biomedical applications
    • 

    corecore