各地应积极引导并创造条件，为机器人技术"找场景、拓市场"，支持企业探索机器人服务与商业运营、 城市管理、文化旅游等领域的深度结合，开发出更具吸引力和竞争力的新场景、新服务。同时，相关政 策与资源应聚焦于人形机器人运动控制、环境自适应交互、群体协同等关键核心技术攻关，以真实场景 需求倒逼技术进步，逐步破解规模化应用"最后一公里"的难题。 ■贾丽 北京首钢园国内首家机器人商店"陶朱新造局"正式亮相，成都春熙路上"银河太空舱"迎宾机器人与观众 热情互动，三十余台机器人组成的"智能巡检群"在荆楚大地的变电站默默值守……刚刚过去的国庆中秋 假期中，"机器人总动员"成为了新看点。机器人不再仅是新奇展品，而是深入零售、文旅等多元消费场 景，成为真正的服务提供者。 由此可见，我国机器人产业正加速从技术突破迈向商业化应用。 笔者认为，面对这一机遇，各地应乘势而上，主动作为，让智能科技新引擎更加强劲有力，助力"新看 点"加速转化为新的经济增长点。 其一，各地应鼓励"场景开放"与"技术攻坚"并重，破解应用瓶颈。当前，机器人的应用场景逐渐从"展 示性"向"功能性"转变。无论是上述机器人商店的运营，还是人形机器人的全自主服务，机器人已 ...

(Bloomberg) — Tesla Inc. shares climbed 33% in September as investors rallied around Chief Executive Officer Elon Musk’s renewed focus on the company. That’s drawing attention to whether the key third-quarter sales figures coming later this week will be strong enough to sustain the momentum. Most Read from Bloomberg The electric-vehicle maker’s shares notched their best month in almost a year, putting them among the 10 best performers in the S&P 500 Index this month. Even more striking is Tesla’s vertic ...

Neptune Robotics, which makes robots that clean the underside of giant ships, raised $52 million to fuel its expansion https://t.co/Al4jAggdZy ...

Google's Robots Can Now Think, Search the Web and Teach Themselves New Tricks► https://t.co/CNYvfOHOTR https://t.co/CNYvfOHOTR ...

This is usually how we train our robots is actually someone teleoperates the robot. So they have to physically move the robot. And right now what he's doing is he's training the robot how to do a task.So traditionally people will train a single model per robot. In Geminina Robotics 1.5%, we're actually using a single model across multiple robots. So, here's an example.We're hanging things from that workbench. One of the key things in 1.5% is that now all of our other robots can actually do the same task. Th ...

Meet The Ex-NASA Engineer Training Robots To Make Pre-Roll Joints https://t.co/grtZbD56Wu https://t.co/Pn2MKOcEzo ...

Core Viewpoint - The transition of Musk's carmaker into a 'physical AI' company is driven by advancements in robotics and the development of robotaxis, according to Baird [1] Group 1: Company Transformation - The carmaker is expected to leverage robotics to enhance its operational capabilities and product offerings [1] - The integration of robotaxis is seen as a pivotal step in evolving the company's business model towards a more AI-centric approach [1] Group 2: Industry Implications - The shift towards robotics and AI in the automotive sector is indicative of broader trends in the industry, emphasizing the importance of technological innovation [1] - The emergence of robotaxis could significantly alter the competitive landscape, potentially leading to new market dynamics and opportunities [1]

This story was originally published on Manufacturing Dive. To receive daily news and insights, subscribe to our free daily Manufacturing Dive newsletter. While the increasing use of AI has been making news in the U.S. manufacturing industry, countries such as China and Japan have been running fully automated factories that require minimal human intervention for decades. These so-called “dark” or “lights-out” factories use machines, robots and automated systems to operate 24/7 without breaks, lighting, heat ...

Group 1 - Jim Cramer discussed Tesla, Inc. (NASDAQ:TSLA) as a technology company rather than just a car manufacturer, emphasizing its focus on autonomous driving and robotics [2][3] - Tesla's shares rose by 4% at the end of the show, with a notable 15% increase over the month, indicating positive market sentiment [2] - Cramer suggested that the rise in Tesla's share price might lead to investigations regarding options purchases, hinting at potential market speculation [2][3] Group 2 - There is a belief that while Tesla has investment potential, certain AI stocks may offer higher returns with limited downside risk [3] - The article mentions a free report on a cheap AI stock that benefits from Trump tariffs and onshoring, suggesting alternative investment opportunities [3]

Robotics Challenges - Designing dexterous robot hands is a difficult problem [1] - Manufacturing these hands at scale is 100 times more challenging [1] - A human hand has 27 degrees of freedom (4 per finger, 5 for the thumb, and 6 for the wrist), making robotic replication complex [1] - Building a robot to manipulate objects like picking up a coin is a non-trivial task [1]