Core Viewpoint - The integration of embodied intelligence and scientific instruments is fundamentally transforming the work methods, skill requirements, and career prospects of professionals in research and testing fields, marking a new industrial revolution in the scientific instrument industry [2]. Group 1: Application Scenarios of Scientific Instrument Integration - In materials science, embodied intelligent robots can autonomously conduct material synthesis and performance testing, increasing synthesis efficiency by three times according to a case study from Science Robotics [3]. - In biomedical experiments, intelligent surgical robots developed by Stanford University can analyze patient data in real-time during surgeries, providing decision support for doctors [3]. - In environmental monitoring and geological exploration, embodied intelligent drones can autonomously perform data collection, with a study from UC Berkeley indicating a twofold increase in data collection efficiency [3]. - In physics research, intelligent robots can operate accelerator equipment and analyze experimental data in real-time, with a report from Nature Physics showing a 1.5 times increase in the speed of discovering new physical phenomena [4]. - In chemical research, embodied intelligence is used for laboratory automation and reaction control, with MIT developing intelligent laboratory systems capable of autonomous chemical synthesis and real-time adjustment of reaction conditions [4]. Group 2: Related Cases - The most common application of embodied intelligence in laboratories is robotic arms, with companies like Huixiang Technology collaborating with Agilent on successful automation systems for multiple chromatographic devices [5]. - A bionic dual-arm robot from Hunan University can autonomously complete sample identification and precise placement on medical spectrometers, transforming the analysis process into a fully automated operation [6]. - A dual-robot pre-treatment platform from South China University of Technology can automatically complete the sequential extraction of water samples, significantly improving efficiency and accuracy [6]. Group 3: Future of Embodied Intelligence and Scientific Instruments - Future laboratory robots are expected to evolve from mere execution to decision-making capabilities, understanding complex natural language commands and autonomously planning experimental steps [14]. - Collaborative research networks may emerge where various types of robots work together seamlessly under AI scheduling, enhancing the efficiency of research processes [14]. - The integration of specialized sensors and actuators may allow robots to perform precision tasks at the nanoscale, such as operating electron microscopes or manipulating single cells for analysis [15][16]. Group 4: Challenges and Recommendations - The core challenges in this technological revolution include precision and reliability, particularly in dexterous operations and understanding non-standard processes [17]. - There is a need for a standardized system to address safety issues related to embodied intelligence, including model safety and decision transparency [19]. - Establishing a national-level common dataset and evaluation standards is recommended to promote data sharing and industry standardization [19]. - The development of ethical guidelines for safety assessments and decision-making transparency in embodied intelligence robots is crucial for their deployment in service industries [20].