TI accelerates the next generation of physical AI with NVIDIA

Rhea-AI Summary

Texas Instruments (NASDAQ: TXN) and NVIDIA are collaborating to accelerate safe deployment of humanoid robots by integrating TI's real-time motor control, mmWave radar sensing and power technologies with NVIDIA Jetson Thor and Holoscan. TI will demonstrate a low-latency, 3D sensor-fusion solution at NVIDIA GTC, March 16–19, 2026, enabling improved perception and safety awareness in challenging environments.

The integration targets deterministic control, reduced false positives, and reliable detection of transparent or reflective obstacles to help move systems from simulation to production-ready, safety-capable robots.

News Market Reaction – TXN

-2.18%

-2.18% Session close to close

In the Mar 5 session, TXN declined 2.18%, reflecting a moderate negative market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement extends Texas Instruments’ AI strategy into humanoid robots by combining its real-...

Analysis

This announcement extends Texas Instruments’ AI strategy into humanoid robots by combining its real-time control, sensing and power portfolios with NVIDIA’s Jetson Thor and Holoscan platforms. The collaboration targets low-latency 3D perception and safety for physical AI, building on prior edge AI product launches. Investors may track technical adoption at events like NVIDIA GTC, customer traction in robotics, and how these solutions complement TXN’s broader analog and embedded portfolio over time.

Key Figures

GTC 2026 dates: March 16–19, 2026 Conference booth: Booth 169 Lightning talk time: 3:00–3:40 p.m. PT

3 metrics

GTC 2026 dates March 16–19, 2026 NVIDIA GTC event where TI will showcase humanoid robot solutions

Conference booth Booth 169 TI exhibit location at NVIDIA GTC in San Jose

Lightning talk time 3:00–3:40 p.m. PT Campanella session on GPU-enabled AI sensor processing, March 18

Previous AI Reports

2 past events · Latest: Jan 06 (Positive)

Same Type Pattern 2 events

Date	Event	Sentiment	24h Move	Catalyst
Jan 06	AI product launch	Positive	+0.9%	Launch of edge AI-enabled 60GHz radar and automotive audio processors.
Nov 11	AI MCU launch	Positive	-2.0%	Introduction of MCUs with edge AI accelerators for efficiency and safety.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-related product news has produced mixed, generally modest reactions, with one positive and one negative move and an average same-tag move of -0.56%.

Recent Company History

Over the past months, Texas Instruments combined solid fundamentals with ongoing strategic moves. Q4 2025 results showed revenue of $4.42B and full-year revenue of $17.68B, alongside a quarterly dividend of $1.42 per share. The company announced a $7.5B Silicon Labs acquisition and held capital management and investor conference presentations. Within AI, prior releases highlighted edge AI radar sensors and MCUs for automotive and industrial uses, and today’s NVIDIA humanoid-robot collaboration extends that AI strategy toward physical AI and robotics.

Key Terms

mmwave radar, sensor fusion, nvidia jetson thor, nvidia holoscan, +2 more

6 terms

mmwave radar technical

"TI integrated its mmWave radar technology with NVIDIA Jetson Thor and NVIDIA Holoscan"

Millimeter-wave (mmWave) radar is a sensor that sends and receives very short radio pulses to map the position, speed and size of nearby objects with high detail, even through rain, fog or darkness. For investors, mmWave capability signals a product’s technical edge in areas like advanced driver assistance, robotics and wireless infrastructure, affecting potential sales, margins and competitive positioning in markets that prize precise, reliable sensing.

sensor fusion technical

"TI designed a sensor fusion solution by integrating its mmWave radar technology"

Sensor fusion is the process of combining data from multiple sensors—like cameras, radar, microphones, or motion detectors—to create a single, clearer picture of what’s happening in the real world. For investors, better fusion means products and systems that are safer, more reliable, or smarter (think a car using several eyes and ears to avoid collisions), which can reduce costs, speed product adoption, and improve a company’s competitive edge.

nvidia jetson thor technical

"integrating its mmWave radar technology with NVIDIA Jetson Thor using NVIDIA Holoscan"

A high-performance edge computing module designed to run advanced AI and sensor workloads in devices like robots, autonomous machines, and smart cameras. Think of it as a powerful mini-computer that lets devices process complex data locally instead of sending everything to the cloud; for investors, its relevance lies in enabling sales, recurring product cycles, and partnerships in industries adopting on-device artificial intelligence, which can influence revenue growth and competitive positioning.

nvidia holoscan technical

"with NVIDIA Jetson Thor and NVIDIA Holoscan to enable low-latency 3D perception"

NVIDIA Holoscan is a software platform that lets medical devices and hospital systems run advanced, real‑time AI on high‑performance hardware near where patient data is captured. Think of it as a fast, local control center that processes medical imaging and sensor data instantly so results appear without cloud delays. Investors care because it can accelerate the growth of AI‑driven medical devices, shorten time to clinical use, and create recurring revenue and partnerships around hardware, software licenses, and regulatory‑ready solutions.

ethernet technical

"connected via ethernet to NVIDIA Jetson Thor enables scalable low-latency, 3D perception"

A wired networking technology that moves data between devices over cables, like a dedicated highway that carries information reliably and quickly across offices, factories, and data centers. Investors care because ethernet underpins the performance and cost of digital services and infrastructure—demand for faster, more reliable wired networks drives spending on hardware, installation and upgrades, which affects manufacturers, service providers and companies that rely on heavy data flow.

gpu-enabled technical

"lightning talk, "The Edge of the Edge: Redefining GPU-Enabled AI Sensor Processing.""

gpu-enabled means a product, service, or system is designed to use a graphics processing unit (GPU) — a specialized chip that handles many calculations at once — to perform heavy computing tasks faster than a regular processor. For investors, gpu-enabled signals potential for better performance, lower operating costs, and the ability to handle demanding workloads like AI, data analysis, or simulations, which can translate into competitive advantage and revenue growth.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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TI's real-time control, sensing, and power portfolios combined with NVIDIA technology advance development of safer humanoid robots

News highlights:

• TI and NVIDIA are collaborating to accelerate the path from simulation to the safe deployment of humanoid robots in the real world.
• As part of this collaboration, TI integrated its mmWave radar technology with NVIDIA Jetson Thor and NVIDIA Holoscan to enable low-latency 3D perception and safety awareness for physical AI applications.
• TI will demonstrate its semiconductor technology for humanoid robots at NVIDIA GTC 2026.

DALLAS, March 5, 2026 /PRNewswire/ -- Texas Instruments (NASDAQ: TXN) today announced it is accelerating the safe deployment of humanoid robots into the real world with NVIDIA. By combining TI's real-time motor control, sensing, radar and power technologies with NVIDIA's advanced robotics compute, ethernet based sensing and simulation technologies, robotics developers can validate perception, actuation and safety earlier and more accurately. TI connects NVIDIA physical AI compute to real-world applications with deterministic control, sensing, power and safety at every joint and subsystem. This partnership will help developers move faster from virtual development to production-ready, scalable and safety-compliant systems.

As part of this collaboration, TI designed a sensor fusion solution by integrating its mmWave radar technology with NVIDIA Jetson Thor using NVIDIA Holoscan Sensor Bridge to enable low-latency, 3D perception and safety awareness for humanoid robots. TI will showcase the solution at NVIDIA GTC, March 16–19, 2026, in San Jose, California.

"The next generation of physical AI requires more than just advanced compute – it demands seamless integration between sensing, control, power and safety systems," said Giovanni Campanella, general manager of industrial automation and robotics at TI. "TI's comprehensive portfolio bridges the gap between NVIDIA's powerful AI compute and real-world applications, enabling developers to validate complete humanoid systems earlier in development. This integrated approach will help accelerate the evolution from prototypes to commercially viable humanoid robots operating safely alongside humans."

"The safe operation of humanoid robots in unpredictable environments requires a massive leap in processing power to synchronize complex AI models with real-time sensor data and motor controls," said Deepu Talla, vice president of robotics and edge AI at NVIDIA. "The integration of Texas Instruments' sensing and power management technologies with the NVIDIA Jetson Thor platform provides developers with a functional safety-capable foundation to accelerate the deployment of next-generation physical AI."

Enabling safer humanoid robots with real-time sensor fusion technology
TI's mmWave radar sensor, IWR6243, connected via ethernet to NVIDIA Jetson Thor enables scalable low-latency, 3D perception and safety awareness for physical AI applications. By fusing camera and radar data, the solution improves object detection, localization, and tracking while reducing false positives for confident, real-time decision-making in humanoid robots.

This solution enables human-like perception that works reliably in challenging conditions – from low light and bright glare to fog and dust indoors and outdoors – and addresses a critical safety gap that has limited real-world deployment of humanoid robots. For example, while cameras may not reliably detect glass doors or reflective surfaces, radar provides consistent detection of these transparent obstacles, enabling smooth navigation in places like office buildings, hospitals and retail environments.

TI at NVIDIA GTC 
TI will present its technologies at NVIDIA GTC in booth 169 at the San Jose McEnery Convention Center. TI and D3 Embedded's live demonstration, "Real-time sensor fusion for reliable robotic perception with Holoscan," showcases how TI's mmWave radar technology integrates with NVIDIA's Jetson Thor and Holoscan ecosystem using an end-to-end software processing chain and visualization from D3 Embedded.

On Wednesday, March 18 from 3:00-3:40 p.m. PT, TI's Giovanni Campanella, will participate in a lightning talk, "The Edge of the Edge: Redefining GPU-Enabled AI Sensor Processing." Campanella will discuss how tight integration of sensing, networking and GPUs is enabling real-time physical AI at the edge of industrial systems.

About Texas Instruments 
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, data center, personal electronics and communications equipment. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com.

View original content to download multimedia:https://www.prnewswire.com/news-releases/ti-accelerates-the-next-generation-of-physical-ai-with-nvidia-302704689.html

SOURCE Texas Instruments

FAQ

What did Texas Instruments (TXN) announce about humanoid robots on March 5, 2026?

TI announced a collaboration with NVIDIA to integrate TI sensing, control and power with NVIDIA Jetson Thor for safer humanoid robots. According to Texas Instruments, the partnership enables low-latency 3D sensor fusion and deterministic control to speed development from simulation to production.

How does TI's mmWave radar integration with NVIDIA Jetson Thor improve robot safety (TXN)?

The integration provides low-latency, 3D perception and sensor fusion to reduce false positives and improve obstacle detection. According to Texas Instruments, fusing camera and radar enhances localization, tracking, and detection of transparent or reflective hazards in real-world environments.

When and where will Texas Instruments (TXN) demonstrate its humanoid robot solution with NVIDIA?

TI will showcase the solution at NVIDIA GTC in San Jose, March 16–19, 2026, at booth 169. According to Texas Instruments, the demo includes a live sensor-fusion chain with D3 Embedded and a lightning talk on March 18, 3:00–3:40 p.m. PT.

What components from TI are being combined with NVIDIA technology in the TXN collaboration?

The collaboration pairs TI real-time motor control, mmWave radar sensing and power management with NVIDIA Jetson Thor and Holoscan. According to Texas Instruments, this combination aims to deliver deterministic control, low-latency perception and functional safety foundations for robots.

What real-world challenges does the TI and NVIDIA sensor-fusion solution address for humanoid robots (TXN)?

It addresses perception failures in low light, glare, fog, dust and transparent surfaces by combining radar and camera data for reliable detection. According to Texas Instruments, this reduces navigation risks in offices, hospitals and retail settings, improving safe operation around humans.