摘要
具身智能的广泛应用和持续优化将带动相关领域的技术创新和生产力提升,为社会带来巨大的经济效益。然而,具身智能零部件及整机在不同应用场景下的性能与质量问题,仍是制约其发展的关键瓶颈。构建场景驱动的具身智能标准体系,应以整体框架与标准制定为基础,打造集成机器人计量校准、性能功能测试、产品认证的一站式平台,进一步提升我国具身智能机器人产品性能与质量,加快推动我国具身智能机器人产品进入全球市场,从而在技术性与经济性两个方面提升我国具身智能的产业竞争力。
The widespread adoption and continuous advancement of embodied artificial intelligence are poised to drive technological innovation and boost productivity across various industries,delivering significant economic benefits to society.However,the performance and quality of embodied artificial intelligence components and systems in diverse application scenarios remain critical bottlenecks hindering their development.To address this,a scenario-driven standardization system is essential.It is necessary to build a comprehensive framework that integrates robot metrology and calibration,performance and functionality testing,and product certification.Such a one-stop platform would significantly enhance the performance and quality of embodied artificial intelligence robots in China,accelerating their entry into the global market.By doing so,it would strengthen China's industrial competitiveness in embodied artificial intelligence,both technically and economically,fostering leadership in this rapidly evolving field.
作者
刘少山
丁宁
Liu Shaoshan;Ding Ning
基金
广东省深圳市龙岗区深圳创新“十大行动计划”配套项目的阶段性成果,项目编号:LGKCSDPT2024002。
关键词
具身智能
标准制定
质量保证
供应链
场景驱动
embodied artificial intelligence
standardization
quality assurance
supply chain
scenario-driven methodology
作者简介
刘少山,深圳市人工智能与机器人研究院具身智能中心主任、研究员,世界青年科学院院士。研究方向为具身智能、机器人计算系统以及自动驾驶。主要著作有《Robotic Computing on FPGAs》等;丁宁,深圳市人工智能与机器人研究院常务副院长、研究员。研究方向为特种机器人与计算机视觉。主要论文有《CCRobot-V:A Silkworm-Like Cooperative Cable-Climbing Robotic System for Cable Inspection and Maintenance》等。
