The integration of humanoid robotics into materials science and chemistry represents a transformative evolution in experimental research,addressing persistent challenges such as reproducibility,scalability,and adaptab...The integration of humanoid robotics into materials science and chemistry represents a transformative evolution in experimental research,addressing persistent challenges such as reproducibility,scalability,and adaptability in increasingly complex workflows.Over the past decades,laboratory automation has transitioned from early mechanized systems[1-4]designed for repetitive tasks to highly specialized platforms integrating artificial intelligence(AI)[5-7]for experimental optimization.Despite these advancements,current technologies often fall short in cognitive and physical versatility,limiting their ability to manage dynamic,multidisciplinary experimental conditions.This limitation is further underscored by the significant budget cuts and closures of chemistry departments in the United Kingdom and the United States,a trend that reduces traditional research capacities while simultaneously increasing reliance on automation to sustain innovation[3,8].展开更多
基金supported by the Shenzhen Fundamental Research Foundation(JCYJ20230807114159010)the National Key Research Development Program Project(2022YFC2403500)the Program from Guangdong Introducing Innovative and Entrepreneurial Teams(2019ZT08L101 and RCTDPT-2020-001).
文摘The integration of humanoid robotics into materials science and chemistry represents a transformative evolution in experimental research,addressing persistent challenges such as reproducibility,scalability,and adaptability in increasingly complex workflows.Over the past decades,laboratory automation has transitioned from early mechanized systems[1-4]designed for repetitive tasks to highly specialized platforms integrating artificial intelligence(AI)[5-7]for experimental optimization.Despite these advancements,current technologies often fall short in cognitive and physical versatility,limiting their ability to manage dynamic,multidisciplinary experimental conditions.This limitation is further underscored by the significant budget cuts and closures of chemistry departments in the United Kingdom and the United States,a trend that reduces traditional research capacities while simultaneously increasing reliance on automation to sustain innovation[3,8].
