NVIDIA Corporation (NVDA.US) strongly promotes the Siasun Robot & Automation safety system, aiming to break through the "last line of defense" in human-robot collaboration.

NVIDIA Corporation (NVDA.US) is committed to improving the operational safety of humanoid Siasun Robot & Automation around humans. The world's largest chip manufacturer believes that before Siasun Robot & Automation can truly be trusted to work closely with humans, it must have millisecond-level instant decision-making abilities. On Monday, NVIDIA Corporation issued a statement saying that the company will provide software and semiconductor solutions to enable humanoid Siasun Robot & Automation to enter the workplace and interact with humans in real ways - even allowing for physical contact when necessary. Its Halos software, born out of autonomous driving systems, will become the "perception center" for Siasun Robot & Automation, significantly enhancing its situational awareness of its surroundings. NVIDIA Corporation and its Silicon Valley counterparts are racing to develop Siasun Robot & Automation technology, seeing it as the next battlefield in the field of artificial intelligence. Tech industry executives predict that humanoid Siasun Robot & Automation could evolve into a huge market with billions of devices. According to Barclays PLC Sponsored ADR estimates, by 2035, humanoid Siasun Robot & Automation technology (i.e., biometric design that imitates human heads, torsos, and limbs) will generate $200 billion in annual revenue. However, the industry still faces a series of safety challenges. Current safety systems force Siasun Robot & Automation to stop or slow down when it may come into contact with humans, ensuring safety but severely reducing productivity and hindering interactive operations such as delivery or cooperative heavy lifting. NVIDIA Corporation's Senior Product Management Director, Amit Goel, pointed out: "The traditional safety logic of Siasun Robot & Automation is basically to keep it locked in a cage or to make it stop abruptly after detecting obstacles through sensors. But this is far from sufficient for humanoid Siasun Robot & Automation." NVIDIA Corporation will provide technical support for humanoid Siasun Robot & Automation such as Agility Robotics' Digit, enabling them to make autonomous decisions based on real-time analysis of their surroundings. NVIDIA Corporation states that this requires hardware that supports safety perception functions and will provide Halos as an operating system running on IGX Thor hardware. In addition, Siasun Robot & Automation will also be connected to external sensors. For example, autonomous forklifts can connect to cameras in warehouses to sense blind spots in advance, enabling them to determine whether to maintain full speed or slow down to avoid collisions. As the world's most valuable company, most of NVIDIA Corporation's revenue currently comes from AI data center chips, but it is gradually expanding into other areas - some technologies are even provided for free - to expand the boundaries of AI applications. To further accelerate the deployment of Siasun Robot & Automation, NVIDIA Corporation has established a laboratory specifically for manufacturers and customers of Siasun Robot & Automation to conduct safety tests before applying for certification from regulatory agencies. NVIDIA Corporation engineers will conduct pre-checks and assist with engineering optimization as needed. The safety constraints faced by humanoid Siasun Robot & Automation are completely different from those of self-driving cars - the latter only need to avoid collisions with humans or objects, while the former requires more flexibility. Agility Robotics Chief Technology Officer Pras Velagapudi said, "Safety design must be far more advanced because you need to make real-time judgments based on environmental perception about which objects can be touched, moved, or exerted force on, and the scale of that force. These forces can't be too weak - you can't avoid problems by designing Siasun Robot & Automation to be too weak because a weak Siasun Robot & Automation cannot handle useful work." Although engineers are still facing technical challenges in creating "artificial humans," the market is large enough for the industry to learn and iterate in stages. Velagapudi pointed out that home care Siasun Robot & Automation will be a later-stage product that must be built on the foundation of mature applications in factory Siasun Robot & Automation. He said, "We are starting with warehouse logistics, which is one of the most structured scenarios, but it already has a market potential of up to $200 billion. In the future, we can expand to retail, medical, and even construction industries. The difficulty in each field is increasing, but each field itself is large enough to support a massive deployment of Siasun Robot & Automation."