--- title: "NVIDIA Launches Halos Software to Accelerate Safety Certification for Humanoid Robot Commercialization" type: "News" locale: "en" url: "https://longbridge.com/en/news/290455705.md" description: "NVIDIA has introduced the Halos safety software system, derived from autonomous driving technology, which endows humanoid robots with real-time environmental perception and active reasoning capabilities, breaking the traditional safety logic of \"stopping or slowing down upon detecting humans.\" NVIDIA also announced the creation of a dedicated testing laboratory, expected to help partners accelerate certification processes and shorten the cycle from lab to customer deployment" datetime: "2026-06-22T15:20:44.000Z" locales: - [zh-CN](https://longbridge.com/zh-CN/news/290455705.md) - [en](https://longbridge.com/en/news/290455705.md) - [zh-HK](https://longbridge.com/zh-HK/news/290455705.md) --- # NVIDIA Launches Halos Software to Accelerate Safety Certification for Humanoid Robot Commercialization NVIDIA is extending its reach from AI data center chips to the field of humanoid robots, attempting to solve the core safety challenges of human-robot collaboration through a combination of software and hardware solutions. On Monday, NVIDIA announced the launch of the Halos safety software system. Derived from autonomous driving technology, the system aims to equip humanoid robots with enhanced environmental perception and real-time decision-making capabilities, enabling them to operate safely around humans and even engage in physical contact. At the same time, NVIDIA announced the establishment of a dedicated safety testing laboratory to assist robot manufacturers in completing pre-inspections and engineering debugging before applying for regulatory certification, directly addressing a key link in commercial deployment. According to Barclays forecasts, the market size for humanoid robots will reach $200 billion by 2035. However, the limitations of current safety systems—specifically, the mandatory shutdown or speed reduction upon detecting human proximity—severely constrain the actual work efficiency of robots and hinder the implementation of human-robot collaboration scenarios. If NVIDIA's solution can effectively address this pain point, it will accelerate the commercialization process of the entire industry. The news has not yet had a significant impact on the stock price; as of press time, NVIDIA shares were down 0.35% in intraday trading. ## **Traditional Safety Models Are Inadequate; Humanoid Robots Require More Advanced Solutions** The safety logic of existing industrial robots is relatively simplistic: robots are isolated in cages or equipped with obstacle sensors that trigger a shutdown upon detecting human proximity. Amit Goel, Senior Director of Product Management at NVIDIA, stated that this logic is far from sufficient for humanoid robots. The core challenge for humanoid robots is that they cannot rely on physical isolation for safety like traditional industrial arms. Instead, they must assess their surroundings in real time, identifying which objects can be touched or exerted upon and which cannot. Pras Velagapudi, Chief Technology Officer at Agility Robotics, pointed out that robots also cannot "bypass" safety issues by reducing power output—a robot lacking the strength to perform actual tasks loses its deployment value. > "Safety design must be more advanced because you need to reason about what can be touched, moved, or exerted upon based on environmental perception, and the magnitude of these forces cannot be too small. You cannot avoid the problem by making the robot so weak that it only gently touches people, because such a robot would also be unable to perform useful work." ## **Halos System: Software-Hardware Synergy Building a Real-Time Perception Foundation** NVIDIA's Halos software will run on its IGX Thor hardware platform as an operating system, providing the underlying support for safety perception in robots. Agility Robotics' humanoid robot, Digit, is one of the first products to adopt this solution. The company's robots have already been deployed at customer sites, including Toyota Motor's manufacturing plants in Canada. The capabilities of the Halos system extend beyond the robot itself. NVIDIA stated that robots will also connect to external sensor networks. For example, in a warehouse, an automated forklift can access footage from warehouse cameras to "see" around corners in advance, allowing it to autonomously decide whether to maintain full speed or slow down to avoid collisions. The significance of this architecture lies in shifting safety decisions from "passive shutdown" to "active reasoning," enabling robots to maintain continuous operations in collaborative scenarios with humans, such as handing items to colleagues or assisting in moving heavy objects. ## **Building In-House Certification Labs to Lower Regulatory Barriers** In addition to software and hardware solutions, NVIDIA announced the creation of a dedicated testing laboratory, allowing robot manufacturers and customers to complete safety tests within the facility before formally applying for regulatory certification. NVIDIA engineers will provide pre-inspection services and assist with engineering-level adjustments and optimizations when necessary. This initiative directly targets one of the core obstacles to large-scale commercialization of humanoid robots: the time-consuming and costly regulatory certification process. By intervening early in the testing phase, NVIDIA expects to help partners accelerate certification rhythms and shorten the product cycle from the laboratory to customer deployment. ## **Phased Deployment: Warehousing and Logistics Lead the Market Opening** Compared to autonomous vehicles, the safety constraints for humanoid robots are more complex. Autonomous vehicles typically only need to avoid contact with people or objects, whereas humanoid robots must possess greater flexibility and environmental understanding. Although engineering challenges remain, the industry generally believes that phased learning and iteration are feasible. Velagapudi stated that the current focus of humanoid robot deployment is on highly structured warehousing and logistics scenarios, a field with an addressable market worth billions of dollars. Subsequently, the industry will expand into retail, healthcare, construction, and other sectors. While the difficulty increases at each stage, each market is large enough to support massive robot deployments. Home care scenarios will be advanced later, building on the experience accumulated from factory robots. NVIDIA and its Silicon Valley peers are competing to layout the robotics sector, viewing it as the next major market for AI. Tech executives predict that robots will eventually evolve into a market comprising billions of devices. ### Related Stocks - [NVDA.US](https://longbridge.com/en/quote/NVDA.US.md) - [07788.HK](https://longbridge.com/en/quote/07788.HK.md) - [07388.HK](https://longbridge.com/en/quote/07388.HK.md) - [NVDQ.US](https://longbridge.com/en/quote/NVDQ.US.md) - [NVDS.US](https://longbridge.com/en/quote/NVDS.US.md) - [NVDL.US](https://longbridge.com/en/quote/NVDL.US.md) - [NVDU.US](https://longbridge.com/en/quote/NVDU.US.md) - [NVDX.US](https://longbridge.com/en/quote/NVDX.US.md) - [NVD.US](https://longbridge.com/en/quote/NVD.US.md) - [NVDD.US](https://longbridge.com/en/quote/NVDD.US.md) - [NVDY.US](https://longbridge.com/en/quote/NVDY.US.md) - [NVDB.US](https://longbridge.com/en/quote/NVDB.US.md) - [NVDG.US](https://longbridge.com/en/quote/NVDG.US.md) - [NVDO.US](https://longbridge.com/en/quote/NVDO.US.md) - [NVDW.US](https://longbridge.com/en/quote/NVDW.US.md) - [NVYY.US](https://longbridge.com/en/quote/NVYY.US.md) - [NYYY.US](https://longbridge.com/en/quote/NYYY.US.md) - [DIPS.US](https://longbridge.com/en/quote/DIPS.US.md) - [09388.HK](https://longbridge.com/en/quote/09388.HK.md) - [MAGX.US](https://longbridge.com/en/quote/MAGX.US.md) - [SMH.US](https://longbridge.com/en/quote/SMH.US.md) - [SOXX.US](https://longbridge.com/en/quote/SOXX.US.md) - [SOXL.US](https://longbridge.com/en/quote/SOXL.US.md) - [SOXQ.US](https://longbridge.com/en/quote/SOXQ.US.md) - [XSD.US](https://longbridge.com/en/quote/XSD.US.md) - [PSI.US](https://longbridge.com/en/quote/PSI.US.md) - [FTXL.US](https://longbridge.com/en/quote/FTXL.US.md) - [BARC.UK](https://longbridge.com/en/quote/BARC.UK.md) - [BCS.US](https://longbridge.com/en/quote/BCS.US.md) - [7203.JP](https://longbridge.com/en/quote/7203.JP.md) - [TM.US](https://longbridge.com/en/quote/TM.US.md) - [NVD.DE](https://longbridge.com/en/quote/NVD.DE.md) - [TOYOF.US](https://longbridge.com/en/quote/TOYOF.US.md) ## Related News & Research - [Nvidia loses almost $330 billion in value as AI stock fears spread](https://longbridge.com/en/news/290306817.md) - [Super Micro's stock is seeing its best run in a year thanks to Nvidia partnership](https://longbridge.com/en/news/290461317.md) - [Upscale AI valued at $2 billion after funding extension](https://longbridge.com/en/news/290443472.md) - [Nvidia Supply Chain Gets A Boost As Coherent Expands Texas AI Manufacturing Facility](https://longbridge.com/en/news/290038332.md) - [Key facts: NVIDIA speeds AI chip cycles; prices $25B bonds](https://longbridge.com/en/news/290320961.md)