首页|Reports from AMOLF Highlight Recent Findings in Robotics (Robust Phototaxis By H arnessing Implicit Communication In Modular Soft Robotic Systems)
Reports from AMOLF Highlight Recent Findings in Robotics (Robust Phototaxis By H arnessing Implicit Communication In Modular Soft Robotic Systems)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics have been published. According to news originating from Amsterdam, Netherlands, by N ewsRx correspondents, research stated, "In robotics, achieving adaptivity in com plex environments is challenging. Traditional robotic systems use stiff material s and computationally expensive centralized controllers, while nature often favo rs soft materials and embodied intelligence." Funders for this research include Horizon 2020, European Union (EU), Netherlands Organization for Scientific Research (NWO). Our news journalists obtained a quote from the research from AMOLF, "Inspired by nature's distributed intelligence, this study explores a decentralized approach for robust behavior in soft robotic systems without knowledge of their shape or environment. It is demonstrated that only a few basic rules implemented in iden tical modules that shape the soft robotic system can enable whole-body phototaxi s, navigating on a surface toward a light source, without explicit communication between modules or prior system knowledge. The results reveal the method's effe ctiveness in generating robust and adaptive behavior in dynamic and challenging environments. Moreover, the approach's simplicity makes it possible to illustrat e and understand the underlying mechanism of the observed behavior, paying parti cular attention to the geometry of the assembled system and the effect of learni ng parameters. Consequently, the findings offer insights into the development of adaptive, autonomous robotic systems with minimal computational power, paving t he way for robust and useful behavior in soft and microscale robots, as well as robotic matter, that operate in real-world environments. How soft modular system s can achieve robust phototactic behavior without centralized control and explic it intermodule communication, but only by leveraging basic local rules is explor ed."
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