NVIDIA Robotics

NVIDIA's architecture leverages parallel processing capabilities through CUDA cores, optimizing performance for AI and deep learning applications. The platform integrates Tensor Cores for enhanced matrix operations, facilitating efficient neural network training. Additionally, real-time ray tracing technology improves rendering quality in graphics applications. The ecosystem supports various APIs, including DirectX and Vulkan, ensuring compatibility across diverse software environments.

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NVIDIA Robotics
2788 San Tomas Expressway
Santa Clara, California 95051
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ROBOTTODAY Weekly July 6 – 10, 2026

ROBOTTODAY Weekly July 6 – 10, 2026

This week in robotics: AI² Robotics raises $735M for wheeled humanoids, Unitree G1 performs first live surgery, Dexmal launches DexOS platform, Agility Robotics announces SPAC, and Ondas acquires DZYNE for $875.8M. July 6–10, 2026.

Physical AI Landscape: From Digital Intelligence to the Embodied Physical World

Physical AI Landscape: From Digital Intelligence to the Embodied Physical World

A comprehensive industry analysis of Physical AI — covering Embodied AI, Field AI, Factory AI, VLM, World Model, VLA, and the VLA vs WAM architecture debate. Includes 20+ companies, 28 references, and the RobotToday Physical AI Landscape diagram. July 2026.

Path Robotics Enhances Welding Efficiency with AI and Boston Dynamics Robots

Path Robotics Enhances Welding Efficiency with AI and Boston Dynamics Robots

In a recent episode of The Robot Report Podcast, Andy Lonsberry, co-founder and CEO of Path Robotics, detailed the company's innovative approach to robotic welding. Based in Columbus, Ohio, Path Robotics utilizes AI to optimize the welding process by identifying torch paths and employing real-time vision guidance. This technology aims to streamline operations in manufacturing environments, addressing longstanding challenges in the industry. The significance of Path Robotics' advancements lies in their application of physical AI to enhance robotic systems. By integrating AI-driven solutions, the company is not only improving the efficiency of welding operations but also expanding the capabilities of robots in complex production settings. The deployment of Boston Dynamics' Spot robots for mobile welding applications in shipbuilding further exemplifies the potential of combining AI with robotics to tackle industry-specific challenges. Looking ahead, the focus will be on the continued integration of AI in robotic systems and the potential for further advancements in welding technology. No further timeline was disclosed at the time of publication, but the ongoing development in this area suggests a promising future for AI-enhanced manufacturing solutions.

Artificial Intelligence Assembly Cameras / Imaging / Vision Controllers Humanoids Manufacturing
XTEND Receives U.S. Patent for Drone Autonomy Technology Enhancing Mission Efficiency

XTEND Receives U.S. Patent for Drone Autonomy Technology Enhancing Mission Efficiency

XTEND Reality Inc. has secured a U.S. patent for its autonomous navigation technology, specifically U.S. Patent No. 12,222,735, which allows drones to navigate toward operator-designated destinations without reliance on the surrounding environment. This patent, also granted in Israel, supports the company's mission to enhance drone autonomy in complex operational settings, reducing operator workload and improving mission execution reliability. The significance of this patent lies in its ability to enable drones to adapt their navigation in real-time while maintaining focus on mission objectives. As autonomous operations grow in defense, security, and public safety sectors, this technology positions XTEND favorably in a competitive landscape, reinforcing its software foundation, XOS, for next-generation autonomous systems. Looking ahead, XTEND is set to participate in the Gauntlet II phase of the U.S. Department of War's Drone Dominance Program, which will test autonomous systems in August at Fort Carson, Colorado. No further timeline was disclosed at the time of publication regarding additional developments related to this patent or upcoming projects.

Controllers Defense / Security Investments Mergers & Acquisitions News Unmanned Aerial Systems / Drones
AI² Robotics Secures $735 Million Funding for Wheeled Humanoid Robots Development

AI² Robotics Secures $735 Million Funding for Wheeled Humanoid Robots Development

AI² Robotics has successfully raised approximately $735 million in a recent funding round, elevating its valuation to around $2.8 billion. The Shenzhen-based company specializes in wheeled humanoid robots, which feature a humanoid torso and five-fingered hands, offering a unique alternative to traditional bipedal systems. This funding round attracted a diverse group of investors, including government-backed entities and major corporations, highlighting the growing importance of physical AI technology in China. The strategic choice to develop wheeled robots instead of bipedal models allows AI² Robotics to focus on mechanical simplicity and durability, making their robots more cost-effective and easier to deploy in public spaces. With over 34 degrees of freedom and a custom lifting mechanism, the robots are designed for various industrial applications, including logistics, manufacturing, and retail. The company’s proprietary Alpha Brain software enhances the robots' capabilities in real-time spatial reasoning and task planning, positioning them as practical solutions in structured environments. Looking ahead, AI² Robotics aims to further penetrate industrial markets while steering clear of the consumer robotics hype. The company is actively deploying its AlphaBot 2 in practical settings, emphasizing its utility in sectors such as biotech and public service. No further timeline was disclosed at the time of publication regarding future funding or product releases.

Artificial Intelligence / Cognition China Financial Humanoids Investments News
FORT Robotics Enhances AI Safety with Nvidia Halos at Automate Conference

FORT Robotics Enhances AI Safety with Nvidia Halos at Automate Conference

FORT Robotics has joined the Nvidia Halos for Robotics ecosystem to enhance safety for autonomous robots. The company will showcase its agentic safety application, developed using the Nvidia Halos Outside-In Safety Blueprint, at the Automate conference in Chicago. This innovative solution utilizes external infrastructure sensors and visual AI agents to provide real-time, safety-certifiable functional safety, significantly improving operational efficiency in dynamic environments. The collaboration is significant as it addresses the limitations of traditional inside-out functional safety systems, which rely solely on onboard sensors. By integrating Nvidia's IGX Thor and Holoscan Sensor Bridge, FORT's solution allows robots to operate safely alongside human workers in high-efficiency modes. This adaptability is crucial for modern warehouses and factories, where environments are constantly changing, and safety frameworks must evolve to protect workers effectively. Looking ahead, FORT's integration with Nvidia Halos is expected to provide substantial value to customers in warehousing, manufacturing, and other automated sectors. The Outside-In Safety framework aims to prevent safety incidents in mixed human-robot environments, optimizing processes like inventory replenishment and product assembly. No further timeline was disclosed at the time of publication.

Artificial Intelligence Industry ai automation Autonomous robots fort robotics
RoboDK Launches CAM Software to Reduce Robotic Machining Deployment Time by 40%

RoboDK Launches CAM Software to Reduce Robotic Machining Deployment Time by 40%

RoboDK has introduced its new CAM software, enabling robotic machining programs to be generated directly from CAD files. This innovation, showcased at the Automate Show, promises to reduce deployment time by up to 40%, allowing users to create toolpaths and collision-free motions without manual coding. The software aims to simplify the robotic machining process for manufacturers and integrators, even those lacking programming expertise. The significance of RoboDK CAM lies in its potential to overcome the traditional complexities associated with robot programming, which have hindered the adoption of robotic machining. By automating the generation of machining programs from CAD designs, RoboDK CAM facilitates rapid integration into production environments, thereby reducing costs and enhancing efficiency. CEO Albert Nubiola emphasized that this approach transforms CAD into the starting point for automation, making deployments faster and more consistent. Looking ahead, RoboDK's recent software update, Version 6.0, enhances performance and simulation capabilities, including support for over 1,400 robot models. The next milestone for RoboDK will be to further expand its software's capabilities and user accessibility. No further timeline was disclosed at the time of publication.

News Robot simulation Software Automate 2026 CAD-to-robot CAM software
Richtech Robotics Introduces 24/7 Livestream with AI Robot ADAM for Global Interaction

Richtech Robotics Introduces 24/7 Livestream with AI Robot ADAM for Global Interaction

Richtech Robotics, based in Nevada, has launched a 24/7 interactive livestream featuring its AI humanoid robot, ADAM. This initiative allows global audiences to engage with ADAM in real-time, asking questions and observing the robot's responses. The platform utilizes Nvidia Jetson Thor for onboard computing and the Nvidia Isaac open robotics platform, showcasing the capabilities of embodied AI. This livestream initiative is significant as it represents a shift in human-robot interaction, moving beyond traditional pre-recorded content to a dynamic, user-controlled experience. Richtech Robotics aims to demonstrate how AI-powered robots can effectively communicate in real-world settings, enhancing user engagement and showcasing their broader portfolio of automation solutions across various industries, including hospitality and manufacturing. Looking ahead, Richtech Robotics is positioned to lead advancements in intelligent automation and robotics. The company plans to continue evolving the interaction between humans and robots, with no further timeline disclosed for additional features or expansions of the ADAM livestream platform at the time of publication.

Humanoids adam AI-powered robots artificial intelligence automation conversational ai
Cognibotics Secures €6.5 Million EU Funding for HKM1800 Robot Development

Cognibotics Secures €6.5 Million EU Funding for HKM1800 Robot Development

Cognibotics, a Swedish robotics firm, has received €6.5 million in funding from the European Innovation Council Accelerator under the Horizon Europe program. This funding comprises a €2.5 million grant and €4 million in equity financing, aimed at advancing the development and industrialization of the HKM1800 robot platform for logistics and manufacturing. The HKM1800 features a hybrid kinematic design that allows for delta-class speed and a workspace ten times larger than traditional robots, while consuming one-third less energy. The significance of this funding lies in its potential to enhance automation in Europe, addressing labor shortages and increasing throughput demands. The HKM1800 is designed to facilitate quick installation and achieve over 2,000 picks per hour within a 10 square meter workspace, effectively breaking the conventional speed/reach trade-off. CEO Fredrik Malmgren emphasized that this funding validates their technology and strategic direction, which focuses on both the robot and the software that supports it. Looking ahead, Cognibotics aims to leverage this funding to bring the HKM1800 to market and further develop its software and automation strategies. The project aligns with the growing need for scalable automation solutions in Europe. No further timeline was disclosed at the time of publication.

Business Financials & Investments News cognibotics EIC Accelerator European Innovation Council
Chinese Companies Explore World Models for AI Simulation of Environments

Chinese Companies Explore World Models for AI Simulation of Environments

Artificial intelligence is evolving with a focus on 'world models,' which simulate environmental responses to actions. This shift is gaining traction among Chinese companies, expanding the application of these models beyond traditional physics and robotics. The technology is still developing, with no clear consensus on its final form, indicating a significant area of exploration for AI advancements. The significance of world models lies in their potential to enhance AI's predictive capabilities, allowing systems to anticipate changes in both physical and digital environments. This could lead to improved decision-making processes across various sectors, as companies leverage these models to better understand and interact with their surroundings. The growing interest from major tech firms highlights the competitive landscape surrounding this emerging technology. Looking ahead, the development of world models is expected to progress, although specific timelines for advancements or implementations remain undisclosed. As the industry continues to explore this frontier, stakeholders should monitor the evolution of standards and applications that will shape the future of AI simulation technologies.

Bessemer Technology Secures Angel Funding for Motor Innovations in Robotics

Bessemer Technology Secures Angel Funding for Motor Innovations in Robotics

Bessemer (Shanghai) Technology, founded by Assistant Professor Zhu Wenjun from Xi'an Jiaotong-Liverpool University, has successfully raised millions in angel funding from the Pudong AI Seed Fund. Established in 2025 with a registered capital of 2 million yuan, the company holds two patents and aims to optimize motor technology and establish mass production lines with the new funding. This funding is significant as it marks a shift in investment focus towards core components like joint motors, which have been underdeveloped in China. While many domestic motor technologies remain in the experimental phase, Bessemer is building a complete chain from electromagnetic simulation to standardized hardware, addressing the gap between laboratory innovations and industrial production. Looking ahead, Bessemer's product line includes the E series and S series motors, designed for humanoid robots and medical devices, which could disrupt the market by offering lighter, more efficient alternatives to traditional motors. No further timeline was disclosed at the time of publication for upcoming product launches or additional funding rounds.

Motor Technology Robotics Angel Investment High-Tech Startups
NVIDIA and DeepMind Lead Robotics Simulation Debate with New Industrial Applications

NVIDIA and DeepMind Lead Robotics Simulation Debate with New Industrial Applications

The field of embodied intelligence is witnessing a fierce debate over the best approach to training robots for industrial applications. One faction advocates for simulation-based training, leveraging structured environments to generate synthetic data, while the opposing view emphasizes the necessity of real-world data to handle complex physical interactions and unpredictable scenarios. Key players include NVIDIA, DeepMind, and Intrinsic, each with unique strategies and technologies. NVIDIA's Omniverse platform and Isaac Sim engine exemplify the simulation approach, enabling comprehensive digital twins of factories for training and optimization. Their collaboration with BMW on a digital twin project in Hungary showcases the potential of synthetic data in logistics and robotic movements. However, challenges remain in achieving the necessary fidelity for force control and physical interactions, prompting NVIDIA to seek partnerships with companies like Hexagon Robotics. Conversely, DeepMind's use of the MuJoCo physics engine has demonstrated that pure simulation can achieve industrial-grade precision in specific tasks, such as sorting with known rigid models. Yet, this method's effectiveness is limited to scenarios with minimal contact and force control. Intrinsic aims to transform simulation into a comprehensive development tool for industrial robots, focusing on lowering barriers for small manufacturers. The ongoing challenge of the SIM2REAL gap remains a critical factor in the success of these approaches.

Robotics Industrial Automation Simulation Technology AI
ROBOTTODAY Weekly June 30 – July 4, 2026

ROBOTTODAY Weekly June 30 – July 4, 2026

Unitree wins CSRC approval for China’s first humanoid IPO, Korea unveils ₩312T AI investment, RoboCup 2026 opens in Incheon, and Paris launches Europe’s inaugural Physical AI summit.

Faraday Future Completes Six-Series EAI Robot Lineup, Launches Faber Mobile Manipulator

Faraday Future Completes Six-Series EAI Robot Lineup, Launches Faber Mobile Manipulator

Faraday Future unveils its full six-series EAI Robot World portfolio at Automate 2026, featuring the $89,900 All-New Futurist humanoid and the commercial release of the Faber mobile manipulator.

The EV Déjà Vu: Why China's Humanoid Robot Blitz May Be Winning the Battle — but Losing the War

The EV Déjà Vu: Why China's Humanoid Robot Blitz May Be Winning the Battle — but Losing the War

China controls 80% of humanoid robot shipments and crushes hardware costs. But is winning the body enough? A deep analysis of the US-China robot war beyond the EV analogy.

Vention Announces Two Major Robotics Collaborations at Automate 2026 | FANUC & Teradyne Robotics

Vention Announces Two Major Robotics Collaborations at Automate 2026 | FANUC & Teradyne Robotics

Vention reveals AI-powered platform partnerships with FANUC America and Teradyne Robotics at Automate 2026, enabling software-defined automation across collaborative and industrial robot deployments.

FORT Robotics Joins NVIDIA Halos to Launch Outside-In Safety for Physical AI | Automate 2026

FORT Robotics Joins NVIDIA Halos to Launch Outside-In Safety for Physical AI | Automate 2026

FORT Robotics integrates with NVIDIA Halos for Robotics to deliver Outside-In Safety — extending robot perception beyond onboard sensors via external infrastructure and visual AI agents for safer, higher-throughput autonomous operations.

Supply Chain Reckoning: Can Boston Dynamics Avoid Becoming the Next iRobot?

Supply Chain Reckoning: Can Boston Dynamics Avoid Becoming the Next iRobot?

A data-driven analysis comparing Boston Dynamics Atlas and Tesla Optimus supply chain strategies in 2026. Examines actuator costs, production ramp speeds, and how Boston Dynamics can avoid iRobot's bankruptcy by adopting a tiered supply chain approach. Includes component cost tables, risk heat maps, and strategic frameworks.

ROBOTTODAY Weekly, June 8 – 12, 2026

ROBOTTODAY Weekly, June 8 – 12, 2026

This week in robotics: Bezos’ Prometheus raises $12B for physical AI, NEURA Robotics closes $1.4B Series C, NVIDIA deepens partnerships with Hyundai and LG in Seoul, and Hyundai’s Boston Dynamics robot dogs debut at FIFA World Cup 2026. June 8–12, 2026.

CONSTRUCTION ROBOTICS | FUTURE HORIZONS: 2025–2030 & BEYOND

CONSTRUCTION ROBOTICS | FUTURE HORIZONS: 2025–2030 & BEYOND

Construction robotics is entering its decisive decade. Autonomous jobsites, swarm coordination, humanoid integration, and a potential $60 billion market reshape every strategic decision in the industry.