首页|Investigators from National Institute of Standards and Technology Release New Da ta on Robotics (Embodied Ai for Dexterity-capable Construction Robots: Dexbot Fr amework)
Investigators from National Institute of Standards and Technology Release New Da ta on Robotics (Embodied Ai for Dexterity-capable Construction Robots: Dexbot Fr amework)
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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 reporting from Boulder, Colorado, by NewsRx j ournalists, research stated, "The construction industry is integrating robots in to critical tasks at an accelerated pace, with the aim of enhancing efficiency, safety, and productivity. However, construction tasks requiring dexterity remain a challenge due to the need for precise movements, accurate perception, real-ti me decision-making, and a comprehensive understanding of the environment." Financial support for this research came from National Science Foundation (NSF). The news correspondents obtained a quote from the research from the National Ins titute of Standards and Technology, "To address these challenges, the introducti on of embodied artificial intelligence (AI) represents a significant shift in ro botic capabilities to enhance their alignment with the broader spectrum of const ruction settings. Rooted in cognitive science, embodied AI emphasizes the integr ation of an agent's physical form into its computational intelligence processes. It resembles how humans develop motor skills by interacting with physical world . This paper introduces DEXBOT, an exploratory framework for designing construct ion robots capable of high dexterity using embodied AI principles that mimics hu man strategies in complex tasks. The framework outlines six key perspectives for solving high-dexterity tasks with embodied AI: scene understanding, localizatio n and motion planning, position-based control, force-based control, sequence pla nning, and correction decision-making. By presenting preliminary test cases for each perspective, the paper emphasizes the role of embodied AI in advancing dext erity level of construction robots."
BoulderColoradoUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningNano-robotRoboti csNational Institute of Standards and Technology
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