2月16日下午，央视发布2026年春晚节目单。本次春晚一共有3个小品，2个喜剧短剧和1个对口白话节目，没有相声节目。沈腾与马丽不再合作表演小品， 转而共同参演微电影《我最难忘的今宵》，共同参演的还有银河通用。银河通用是一家具身多模态大模型通用机器人创新企业，成立于2023年5月。 蔡明、王天放、松延动力将带来小品《奶奶的最爱》，其中松延动力是一家专注于人形机器人研发与制造的科技公司，2023年9月成立于中国北京。天后 王菲将带来歌曲《你我经历的一刻》，任素汐、毛不易合唱歌曲《别来无恙》，美国歌手John Legend与法国歌手Hélène Rollès以及爱尔兰的Westlife（西 城男孩）组合将联袂献上《致爱组曲》，歌曲《智造未来》将VR眼镜、北斗导航、无人机等前沿科技元素融入充满未来感的歌舞编排，宇树科技机器人 将联合河南塔沟武校表演武术节目《武BOT》。从节目编排来看，今年的央视春晚科技元素突出。 | 主 持 人:任鲁豫、撒贝宁、尼格买提 | | | --- | --- | | 龙 洋、马凡舒、刘心悦 | | | 杨 帆、姜 多(黑龙江哈尔滨分会场) | | | 郭若天、贺 传 (浙江义乌分会场) | ...

Group 1: Investment Highlights - Galaxy General Robotics completed a B+ round financing of $300 million, aimed at integrating "embodied multimodal large models" with general robotic platforms [1] - Momenta received strategic investment from Grab, significantly increasing its post-investment valuation, to enhance its global expansion and data-driven autonomous driving algorithms [2] - Zhongyan Alkali Industry secured a strategic investment of 3.92 billion RMB to expand efficient and green extraction of natural soda resources [3] - Gongyuan Sanqian completed a B round financing of several hundred million RMB to develop AI-based industrial quality inspection systems [4] - Zhanlue Data finished a C+ round financing, with a post-investment valuation of approximately 3.6 billion RMB, focusing on health insurance risk control and claims automation [5][6] - Zhongke Hongtai obtained A round financing of several tens of millions RMB to advance surgical robots for vascular intervention [7] - Wuhu Lindong Technology completed an angel round financing to explore unmanned social spaces with a self-service bar model [8] - Lovable, a Swedish AI company, completed a B round financing with investments from Google and NVIDIA to develop AI engineers for software development [9] - Cyera, a US data security company, received a strategic investment of $400 million from Blackstone to promote its data-centric proactive security platform [10] - Neural Concept, a Swiss software company, completed a C round financing of $100 million to enhance AI-driven engineering design software [11][12] Group 2: Company Focus and Innovations - Galaxy General Robotics focuses on developing a robot platform capable of understanding the physical world and possessing general intelligence [1] - Momenta specializes in autonomous driving technology, leveraging vast real-world driving data to evolve its algorithms [2] - Zhongyan Alkali Industry is engaged in the extraction and processing of natural soda, emphasizing environmentally friendly methods [3] - Gongyuan Sanqian integrates AI with X-ray inspection technology to provide real-time detection solutions for high-end manufacturing [4] - Zhanlue Data is dedicated to health insurance technology, offering solutions for risk control and automated claims processing [5][6] - Zhongke Hongtai develops medical robots aimed at improving precision in surgical procedures [7] - Wuhu Lindong Technology operates a self-service bar model, creating a new social space for young consumers [8] - Lovable aims to revolutionize software development by creating AI that can autonomously generate and deploy applications [9] - Cyera focuses on data security, providing a platform that automatically discovers and assesses data risks [10] - Neural Concept enhances industrial design processes through AI, significantly reducing development cycles for complex manufacturing [11][12]

Core Insights - Baidu World Conference 2025 showcased the T5 domain controller developed by Beijing Xingyuan Intelligent Robot Technology Co., Ltd, highlighting its advanced capabilities in robotics [1] Company Overview - Xingyuan Intelligent focuses on multi-modal spatial intelligence and aims to create a universal embodied brain for the physical world [1] - The company was incubated by the Beijing Academy of Artificial Intelligence and possesses leading capabilities in embodied multi-modal large models and spatial intelligence [1] Product Details - The T5 controller features high computational power of 2070 TFLOPS, low power consumption, and high performance, supporting advanced algorithms like deep learning and computer vision [1] - The T5 is equipped with NVIDIA's latest Jetson Thor processor, enhancing its ability to meet the demands of real-time perception, intelligent decision-making, and precise control in robotics [1] Collaboration and Industry Impact - A deep collaboration has been established between Zhiyuan Robotics and Xingyuan Intelligent, showcasing the new generation industrial interactive embodied robot, Zhiyuan Spirit G2, at the conference [1] - The exhibition demonstrated the potential industry transformation brought by the technological breakthroughs represented by the T5 controller [1]

Core Insights - The article discusses the evolution and challenges of embodied intelligence, emphasizing the need for a comprehensive understanding of its development, issues faced, and future directions [3][4]. Group 1: Robotic Manipulation - The survey on robotic manipulation highlights the transition from mechanical programming to embodied intelligence, focusing on the evolution from simple grippers to dexterous multi-fingered hands [5][6]. - Key challenges in dexterous manipulation include data collection methods such as simulation, human demonstration, and teleoperation, as well as skill learning frameworks like imitation learning and reinforcement learning [5][6]. Group 2: Navigation and Manipulation - The discussion on robotic navigation emphasizes the importance of physics simulators in addressing high costs and data scarcity in real-world training, with a focus on the Sim-to-Real transfer challenges [9][15]. - The evolution of navigation techniques is outlined, transitioning from explicit memory to implicit memory, and the role of various simulators in narrowing the Sim-to-Real gap is analyzed [15][16]. Group 3: Multimodal Large Models - The exploration of embodied multimodal large models (EMLMs) reveals their potential to bridge perception, cognition, and action gaps, driven by advancements in large model technologies [17][19]. - Challenges identified include cross-modal alignment difficulties, high computational resource demands, and weak domain generalization [19]. Group 4: Teleoperation and Data Collection - The survey on teleoperation of humanoid robots discusses the integration of human cognition with robotic capabilities, particularly in hazardous environments, while addressing challenges such as high degrees of freedom and communication limitations [29][30]. - Key components of teleoperation systems include human state measurement, motion retargeting, and multimodal feedback mechanisms [30][33]. Group 5: Vision-Language-Action Models - The analysis of Vision-Language-Action (VLA) models covers their evolution from cross-modal learning architectures to the integration of visual language models and action planners [33][36]. - The article identifies core challenges in real-time control, multimodal action representation, and system scalability, while proposing future directions for adaptive AI and cross-entity generalization [36][41].

Group 1 - The core viewpoint of the article highlights the successful financing of Beijing Galaxy General Robot Co., Ltd., which raised 1.1 billion RMB, setting records in the field of embodied large model robots [1] - The financing round was led by CATL and Puxuan Capital, attracting major domestic state-owned investment platforms, strategic and industrial investors, and internationally renowned investment institutions [1] - Since its establishment in May 2023, Galaxy General has accumulated over 2.4 billion RMB in financing, receiving high recognition from market-oriented investment institutions, industrial capital, research institution funds, and state-owned investment platforms [1] Group 2 - Galaxy General focuses on the research and innovation of embodied multimodal large model general robots [1] - The company launched the world's first humanoid robot smart pharmacy solution in March 2024, achieving full automation of drug inventory, replenishment, delivery, and packaging processes, with 100 store orders already received [1] - In the industrial sector, Galaxy General has collaborated with internationally renowned automotive companies to execute tasks such as sunroof glass handling and real-time anomaly processing, all based on visual guidance without relying on QR codes [1][2]