The robotics industry enters 2026 at a moment of transition that is difficult to overstate. After years of incremental progress, the sector is now witnessing a convergence of hardware maturity, artificial intelligence integration, and capital deployment that is reshaping both the competitive landscape and the practical applications of robotic systems. For European operators, this is not merely a matter of observing developments across the Atlantic; it is a question of how these shifts will influence procurement decisions, regulatory conversations, and the strategic positioning of companies that rely on automation.
The most visible signal of this inflection point is the sheer volume of investment flowing into humanoid robotics. According to reporting from *The Robot Report*, as much as $4.6 billion was invested in humanoid developers in 2025. That figure is not a rounding error or a niche allocation; it represents a substantial bet by institutional investors, corporate venture arms, and strategic partners that humanoid robots are approaching a threshold of commercial viability. The scale of this funding suggests that the industry has moved beyond the research-and-demonstration phase and into a period where production, deployment, and operational reliability are the primary challenges.
January 2026 saw the industry hit the ground running. One of the most consequential announcements came from the unlikely pairing of Google and SoftBank. Nearly a decade after Google sold Boston Dynamics to SoftBank, the two technology giants announced that DeepMind would assist in making the Atlas humanoid smarter, leveraging its Gemini Robotics foundation models. This collaboration is significant not only because of the names involved but because it signals a shift in how humanoid robots are being developed: the emphasis is no longer solely on mechanical actuation and balance but on the AI systems that enable robots to perceive, reason, and act in unstructured environments.
The same month, Boston Dynamics demonstrated on *60 Minutes* how AI is enabling its Atlas robot to conduct tasks at a new factory owned by parent company Hyundai near Savannah, Georgia. This is a concrete example of a humanoid robot moving beyond the laboratory and into a production environment, albeit one that is still closely controlled. The demonstration is notable for what it implies about the future of manufacturing: if humanoid robots can operate effectively in a factory setting, the addressable market for such systems expands dramatically.
By June 2026, the pace of developments had not slowed. Humanoid robots made many headlines, whether for companies going public, new deployments, or hitting production milestones. The month saw a range of announcements, including the unveiling of a new depth camera by RealSense, the expansion of manufacturing footprints, and the deployment of new robot models at automotive plants. One automaker announced that, following a successful deployment with the Figure 02 robot at its plant in Spartanburg, South Carolina, it would deploy the company’s latest Figure 03 robot. This is a clear signal that early pilots are transitioning into repeat orders, a critical step for any robotics company seeking to establish a sustainable business model.
Key findings
The first key finding is that humanoid robots are being positioned for roles that extend well beyond the factory floor. Sankaet Pathak, founder and CEO of Foundation, has publicly discussed the potential for humanoid robots to patrol the southern border of the United States. In an interview with Fox News Digital, Pathak stated that his company has already demonstrated its technology to officials from the Department of Homeland Security. The vision, as Pathak articulated it, is not to replace human agents entirely but to augment them: “If drones and watchtowers were able to solve for everything, why do we still have humans at the border?” He emphasized that the goal is to keep officers in safe locations while robots conduct surveillance on a 24/7 basis. While the immediate focus is on surveillance and reconnaissance, Pathak did not rule out the possibility of arming robots for border operations if the federal government were to request it.
This development raises important questions about the ethical and legal frameworks governing the use of autonomous systems in law enforcement and border security. The source material does not disclose whether any formal procurement process has been initiated, nor does it specify the timeline for any potential deployment. What is clear is that the technology has advanced to the point where it is being seriously considered for such applications, and that at least one company has made a proactive effort to engage with federal authorities.
The second key finding is that the collaboration between SoftBank and DeepMind represents a significant shift in the AI-humanoid relationship. The announcement, made in January 2026, indicates that DeepMind will help make the Atlas humanoid smarter using its Gemini Robotics foundation models. The source material notes that to be useful in more dynamic environments, robots need AI trained on a variety of sensory inputs. This is a technical point with profound implications: the bottleneck in humanoid robotics is no longer the hardware—the actuators, the sensors, the power systems—but the software that enables the robot to understand and interact with the world. By bringing DeepMind’s AI expertise to bear on Atlas, SoftBank is effectively acknowledging that the future of humanoid robotics lies in the integration of advanced machine learning with physical systems.
The third key finding is that the investment landscape for humanoid robotics is robust but concentrated. The $4.6 billion invested in 2025 is a substantial sum, but it is important to note that this figure covers all humanoid developers, not just the well-known names. The source material does not break down this figure by company, nor does it specify how many companies received funding. What can be inferred is that the level of investment is sufficient to support a range of approaches, from those focused on general-purpose humanoids to those targeting specific applications such as manufacturing or security.
The fourth key finding is that the deployment of humanoid robots in manufacturing is progressing, but it remains in its early stages. The example of Figure robots at an automotive plant in Spartanburg, South Carolina, is instructive. The automaker announced in June 2026 that, following a successful deployment with the Figure 02 robot, it would deploy the latest Figure 03 robot. This suggests that the pilot phase has yielded positive results, but the source material does not provide specific performance metrics, such as uptime, task completion rates, or cost savings. It is also not disclosed how many robots are involved in the deployment, nor what specific tasks they are performing.
The fifth key finding is that the robotics industry is increasingly being covered and analyzed as a distinct sector with its own dynamics. The State of Robotics Industry Report 2026, published by *The Robot Report*, draws on reporting, interviews, and analysis from across the global robotics ecosystem, spanning industrial automation, mobile robots, humanoids, autonomous vehicles, investments, and emerging technologies. The existence of such a report, and the fact that it is being produced on an annual basis, is itself a sign of the industry’s maturation. The report is authored by Steve Crowe, Executive Editor, Robotics, at WTWH Media, who also chairs the Robotics Summit & Expo and RoboBusiness, and co-hosts The Robot Report Podcast.
The sixth key finding is that the industry is seeing a broadening of applications and technologies. In June 2026, RealSense unveiled an AI-native D585 Pro depth camera. This is a component-level development, but it is significant because depth sensing is a critical capability for robots operating in unstructured environments. The source material does not provide technical specifications for the camera, nor does it disclose pricing or availability. What is clear is that the sensor ecosystem is evolving to meet the demands of more sophisticated robotic systems.
The seventh key finding is that investment is flowing not only into robot developers but also into the enabling technologies and infrastructure. One company, General Intuition, announced that it plans to use its Series A financing to build AI models that can perceive, predict, and act in virtual environments. The source material does not disclose the amount of the Series A round, nor does it identify the investors. However, the stated purpose of the funding—building AI models for virtual environments—suggests that the industry is investing in simulation and training capabilities that will be essential for developing and validating robotic systems before they are deployed in the physical world.
What it means for European operators
For European operators, the developments outlined above carry both opportunities and challenges. The first and most immediate implication is that the competitive landscape for robotics is becoming more global and more intense. European companies that have been developing their own robotic systems, or that have been relying on suppliers from the United States or Asia, will need to pay close attention to the pace of innovation elsewhere. The collaboration between SoftBank and DeepMind, in particular, could result in a humanoid robot with capabilities that are significantly ahead of what is currently available in the European market. European operators should monitor the progress of this collaboration closely, as it could set a new benchmark for what is possible in terms of AI-driven robotic manipulation and navigation.
The second implication is that the investment environment for robotics is likely to remain robust, but European operators should be aware that capital is flowing disproportionately to a small number of high-profile companies. The $4.6 billion invested in humanoid developers in 2025 is a global figure, and it is not clear how much of that capital has been directed to European companies. European operators may need to be more proactive in seeking out investment opportunities, whether through public funding programs, corporate partnerships, or venture capital. The source material does not provide a breakdown of investment by region, so it is not possible to say definitively whether Europe is underfunded relative to other regions. What can be said is that the overall level of investment is high, and that European operators should position themselves to benefit from this trend.
The third implication is that the use of humanoid robots in security and border patrol applications, as envisioned by Foundation, raises regulatory and ethical questions that will be particularly relevant in Europe. European Union member states have varying approaches to the use of autonomous systems in law enforcement, and the deployment of armed robots, even if only in a defensive capacity, would likely face significant legal and political hurdles. The source material notes that Foundation would be willing to arm robots for border operations if requested by the federal government, but it does not indicate whether any such request has been made. European operators should be aware that the regulatory environment for such applications is likely to be stricter in Europe than in the United States, and they should plan accordingly.
The fourth implication is that the deployment of humanoid robots in manufacturing, as exemplified by the Figure robots at the Spartanburg plant, is a trend that European manufacturers cannot afford to ignore. The source material does not provide details on the specific tasks performed by the Figure robots, nor does it disclose the number of units deployed. However, the fact that an automaker is moving from one generation of the robot to the next suggests that the initial deployment met or exceeded expectations. European manufacturers should consider whether humanoid robots could be deployed in their own facilities, and if so, what tasks they would be best suited for. It is also worth noting that the source material does not provide any information on the cost of the Figure robots, nor on the return on investment that the automaker has realized. European operators should conduct their own due diligence before making any procurement decisions.
The fifth implication is that the development of AI models for virtual environments, as pursued by General Intuition, is likely to have a significant impact on how robotic systems are developed and validated. If AI models can be trained in virtual environments that accurately simulate the physical world, the cost and time required to develop new robotic applications could be substantially reduced. European operators should explore whether such tools are available to them, and if so, how they can be integrated into their own development processes. The source material does not provide details on the specific capabilities of General Intuition’s models, nor does it disclose whether they are commercially available.
The sixth implication is that the robotics industry is becoming more professionalized, with dedicated media coverage, industry reports, and events. The State of Robotics Industry Report 2026, the Robotics Summit & Expo, and RoboBusiness are all examples of this trend. European operators should take advantage of these resources to stay informed about the latest developments and to network with peers and potential partners. The source material does not provide details on the cost of attending these events, nor does it disclose the dates for 2026, but it is reasonable to assume that they will be held at some point during the year.
The seventh implication is that the pace of change in the robotics industry is accelerating, and European operators need to be prepared for a future in which humanoid robots are a common sight in factories, warehouses, and potentially even public spaces. The developments of January and June 2026 are just two data points, but they are indicative of a broader trend. European operators should not assume that the current state of the art will remain the state of the art for long. They should build flexibility into their operations, so that they can adapt to new technologies as they become available.
It is also worth noting that the source material does not disclose several important details that would be relevant to European operators. For example, it does not provide any information on the regulatory approval process for humanoid robots in the United States, nor does it indicate whether any standards have been established for their safe operation. It does not disclose the total number of humanoid robots that have been deployed globally, nor does it provide a forecast for future deployments. It does not mention any European companies that are developing humanoid robots, nor does it discuss the competitive dynamics within Europe. These are gaps in the available information, and European operators should seek to fill them through their own research and industry contacts.
Finally, it is important to consider the broader economic and geopolitical context. The robotics industry is not developing in a vacuum. Trade tensions, supply chain disruptions, and labor shortages are all factors that could influence the adoption of robotic systems. The source material does not address these issues directly, but they are relevant to any assessment of the industry’s trajectory. European operators should consider how these external factors might affect their own plans for automation and robotics adoption.
In summary, the robotics industry is at an inflection point, and the developments of 2025 and 2026 are setting the stage for a period of rapid change. European operators have an opportunity to be part of this transformation, but they will need to be proactive in their approach. They should monitor the progress of key players such as SoftBank, DeepMind, Boston Dynamics, and Foundation; they should assess the potential of humanoid robots for their own operations; and they should engage with the broader robotics community to stay informed and connected. The road ahead is uncertain, but the direction of travel is clear.
Sources
The road ahead for robotics: Insights from Motional’s Major and Foundation’s Pathak
Published by Vigla Media OÜ (Estonia).