STMicroelectronics accelerates global adoption and market growth of Physical AI with NVIDIA
MWN-AI** Summary
STMicroelectronics (NYSE: STM) has announced a strategic collaboration with NVIDIA to accelerate the global development and adoption of physical AI systems, which encompass humanoid, industrial, service, and healthcare robots. By integrating ST’s sensors, microcontrollers, and motor control solutions within NVIDIA's robotics ecosystem, the two companies aim to streamline the design, training, and deployment of advanced robotic systems, thereby enhancing efficiency, reliability, and scalability for developers.
One of the first initiatives in this collaboration is the integration of the Leopard Imaging stereo depth camera with the NVIDIA Holoscan Sensor Bridge (HSB), along with a high-fidelity model of an ST Inertial Measurement Unit (IMU) into the NVIDIA Isaac Sim ecosystem. This integration allows developers to build and validate simulations that closely mimic real-world applications, significantly bridging the gap between virtual and physical robotics.
Rino Peruzzi, Executive Vice President at STMicroelectronics, emphasized the initiative's potential to foster cutting-edge innovations in robotics, providing robust support to developers throughout the design process. Meanwhile, NVIDIA’s Deepu Talla highlighted the importance of high-fidelity simulation and hardware integration in expediting the development of next-generation autonomous systems.
The collaboration simplifies data acquisition and logging through the HSB by enabling developers to synchronize and streamline multiple sensors and actuators, essential for creating accurate NVIDIA Isaac models. ST and NVIDIA are also committed to providing high-quality, hardware-calibrated models derived from real ST devices, aiming to reduce costs and complexity in robotics development.
As they work towards achieving accurate simulations, the partnership is poised to significantly enhance robot learning, thereby shortening training cycles and facilitating the innovation of humanoid robotics applications. Together, ST and NVIDIA envision a future where more efficient, high-functioning robots can thrive across various industries.
MWN-AI** Analysis
STMicroelectronics (NYSE: STM) is strategically positioning itself to capitalize on the burgeoning field of Physical AI through an innovative collaboration with NVIDIA. By integrating ST’s advanced sensors, microcontrollers, and motor control solutions with NVIDIA’s robotics ecosystem, the two companies aim to streamline the design, training, and deployment processes for physical AI systems like humanoid robots. This partnership addresses key market demands for higher efficiency, reliability, and scalability, making it an attractive investment opportunity.
Investors should closely monitor the development of the Holoscan Sensor Bridge, which simplifies the integration of ST’s sensors and actuators into NVIDIA’s Jetson platforms. This pre-integrated solution is expected to lower costs and complexities for developers and enhance the deployment speed of robotics applications across various sectors, including industrial, service, and healthcare fields. The collaboration’s emphasis on creating accurate, high-fidelity models for ST components should significantly tighten the sim-to-real gap, reducing potential training costs and timelines.
Moreover, STMicroelectronics’ commitment to advancing semiconductor technology not only aligns with the Industry 4.0 movement but also contributes to its sustainability goals. Their pursuit for carbon neutrality by 2027 underscores a responsible growth trajectory that increasingly attracts environmentally conscious investors.
Additionally, given the inherent complexities and high costs associated with advanced robotics development, ST's efforts to provide calibrated models tailored for the NVIDIA Isaac Sim ecosystem can revolutionize the landscape, enabling faster, more reliable innovation cycles in robotics.
In conclusion, STMicroelectronics is adeptly positioning itself in a transformative market with tailored solutions to meet emerging demands. Investors looking for long-term gains should consider adding STMicroelectronics to their portfolios as its advancements in Physical AI and sustainable practices are likely to drive significant growth in the coming years.
**MWN-AI Summary and Analysis is based on asking OpenAI to summarize and analyze this news release.
STMicroelectronics accelerates global adoption and market growth of Physical AI with NVIDIA
- STMicroelectronics to integrate ST sensors, microcontrollers, and motor control solutions with NVIDIA robotics ecosystem to help developers design, train, and deploy humanoid robots and other physical AI systems with higher efficiency, reliability, and scalability
- First steps with integration of Leopard Imaging stereo depth camera enabled by ST with the NVIDIA Holoscan Sensor Bridge, and the addition of the high-fidelity sim-to-real model of ST IMU in NVIDIA Isaac Sim ecosystem
Geneva, March 16, 2026 -- STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics applications, today announced the acceleration of global development and adoption of physical AI systems, including humanoid, industrial, service and healthcare robots. ST is integrating its comprehensive portfolio for advanced robotics, into the reference set of components compatible with the NVIDIA Holoscan Sensor Bridge (HSB). In parallel, high-fidelity NVIDIA Isaac Sim models of ST components are being integrated into both companies’ robotics ecosystems to support faster, more accurate sim-to-real research and development. The first deliverables available to developers today include the integration of Leopard’s depth camera enabled by ST with the NVIDIA HSB and the high-fidelity model of an ST IMU into NVIDIA’s Isaac Sim ecosystem.
“ST is well engaged within the robotics community, providing robust support and a well-established ecosystem," said Rino Peruzzi, Executive Vice President, Sales & Marketing, Americas & Global Key Account Organization at STMicroelectronics. "Our collaboration with NVIDIA aims to unleash the next wave of cutting-edge robotics innovation with developer and customer experience streamlined at every step, from the inception of AI algorithms to the seamless integration of sensors and actuators. This will accelerate the evolution of sophisticated AI-driven physical platforms.”
“Accelerating the development of next-generation autonomous systems requires high-fidelity simulation and seamless hardware integration to bridge the gap between virtual training and real-world deployment,” said Deepu Talla, Vice President of Robotics and Edge AI at NVIDIA. “The integration of STMicroelectronics’ sensor and actuator technologies with NVIDIA Isaac Sim, Holoscan Sensor Bridge and Jetson platforms provides developers with a unified foundation to build, simulate and deploy physical AI at scale.”
Simplifying sensor and actuator integration with the Holoscan Sensor Bridge
With the NVIDIA HSB, developers can unify, standardize, synchronize, and streamline data acquisition and logging from multiple ST sensors and actuators, a critical foundation for building high-fidelity NVIDIA Isaac models, accelerating learning, and minimizing the sim-to-real gap.
The goal is to simplify the process of connecting ST sensors and actuators to NVIDIA Jetson platforms through pre-integrated solutions for the combination of STM32 MCUs, advanced sensors (including IMUs, imagers, and ToF devices) and motor?control solutions, particularly for humanoid robot designs. Leopard Imaging’s stereo depth camera for robots is the perfect example. Using ST imaging, depth and motion-sensing technologies, it is expected to support a broad wave of designs across Physical AI OEMs, academic research groups and the industrial robotics community.
Reducing cost, complexity challenges with high-fidelity modeling for Omniverse Isaac
Advanced robotics developers face high development costs, in addition to modeling challenges. High?fidelity simulations with extensive randomization demand substantial GPU and CPU resources and large datasets. Selecting which parameters to randomize, and over what ranges, requires deep domain expertise. Poor choices can result in unrealistic scenarios or inefficient training. Finally, excessive variability can confuse models, slow convergence, and degrade real?world performance when randomization no longer reflects plausible conditions.
ST and NVIDIA’s objective is to provide accurate, hardware-calibrated models for the comprehensive portfolio of ST components matching the requirements of advanced robotics. Following the availability of the first model of an IMU, ST is working to bring developers models of ToF sensors, actuators and other ICs derived from benchmark data collected on real ST hardware, using ST tools to capture accurate parameters and realistic behavior, resulting in models optimized to NVIDIA’s Isaac Sim ecosystem. NVIDIA HSB is being integrated into ST’s toolchain collaboratively.
As a result, ST and NVIDIA envision that more accurate models will significantly improve robot learning. With models that closely mirror real-world device behavior, robots can learn from simulations that better reflect actual conditions, shortening training cycles and lowering the cost of building and refining humanoid robotics applications.
More information on NVIDIA Holoscan Sensor Bridge (HSB) is accessible here.
More information on ST solutions to accelerate physical AI development with NVIDIA is accessible here.
About STMicroelectronics
At ST, we are 48,000 creators and makers of semiconductor technologies mastering the semiconductor supply chain with state-of-the-art manufacturing facilities. An integrated device manufacturer, we work with more than 200,000 customers and thousands of partners to design and build products, solutions, and ecosystems that address their challenges and opportunities, and the need to support a more sustainable world. Our technologies enable smarter mobility, more efficient power and energy management, and the wide-scale deployment of cloud-connected autonomous things. We are on track to be carbon neutral in all direct and indirect emissions (scopes 1 and 2), product transportation, business travel, and employee commuting emissions (our scope 3 focus), and to achieve our 100% renewable electricity sourcing goal by the end of 2027. Further information can be found at www.st.com
MEDIA RELATIONS
Alexis Breton
Corporate External Communications
Tel: + 33 6 59 16 79 08
alexis.breton@st.com
INVESTOR RELATIONS
Jérôme Ramel
EVP Corporate Development & Integrated External Communication
Tel: +41 22 929 59 20
jerome.ramel@st.com
Attachments
- T4764D -- Mar 16 2026 -- ST-NVIDIA Physical AI_FINAL FOR PUBLICATION
- ST accelerates the global development and adoption of physical AI systems
FAQ**
How does STMicroelectronics STMEF plan to leverage its collaboration with NVIDIA to enhance the efficiency and scalability of physical AI systems in various sectors, including healthcare and industrial robotics?
In what ways will the integration of ST sensors with NVIDIA's robotics ecosystem, as part of STMicroelectronics STMEF's initiatives, reduce development costs and complexity for OEMs and research groups?
Can you elaborate on the expected impact of high-fidelity modeling under the STMicroelectronics STMEF initiative in bridging the simulated and real-world performance gaps for humanoid robots?
How does STMicroelectronics STMEF aim to support developers in utilizing the Holoscan Sensor Bridge to streamline the integration of sensors and actuators in robotics, specifically regarding data acquisition and logging?
**MWN-AI FAQ is based on asking OpenAI questions about Stmicroelectronics (OTC: STMEF).
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