In February 2025, Bay Area-based robotics firm Figure demonstrated a significant step forward in domestic robotics with its humanoid robot, Helix. The system is designed to respond to natural language voice commands and execute household tasks, positioning itself as a practical assistant within the home environment.
The core innovation demonstrated is Helix's ability to combine visual data with language prompts to control the robot in real time. This means a user can simply speak a request, and the robot interprets both the words and the visual scene before it to determine the appropriate action. The company provided examples of the kinds of instructions Helix can handle, such as "Hand the bag of cookies to the robot on your right" or "Receive the bag of cookies from the robot on your left and place it in the open drawer."
Notably, these examples involve two robots working in tandem. This is because Helix is explicitly designed to control two robots simultaneously, with one assisting the other to complete various household tasks. This collaborative capability suggests a design philosophy that anticipates complex, multi-step chores that might require more than one manipulator or a division of labor.
Perhaps the most striking claim from Figure is Helix's object generalization. According to the company, the robot can pick up thousands of novel household items—objects with varying shapes, sizes, colors, and material properties that were never encountered during its training. This is achieved simply by asking in natural language. If accurate, this represents a departure from traditional robotic pick-and-place systems, which typically require extensive pre-programming or training on specific objects before they can handle them reliably.
The demonstration comes as Figure continues to mature as a company. The humanoid officially took its first steps around the time of the company's first anniversary, a milestone that was announced in the same period. Figure has made considerable progress in a short time, a fact attributed in part to founder and CEO Brett Adcock's initial $100 million bootstrapping of the company.
However, building a multipurpose humanoid is a wildly expensive endeavor, as the source material notes. The company has therefore begun looking beyond its own resources for funding. In May of the preceding year, Figure announced a $70 million Series A funding round led by Parkway Venture Capital. This external investment is intended to help fuel the development of its ambitious hardware and software project.
The announcement also comes amid notable personnel changes. Jerry Pratt, a well-known MIT research scientist, had joined Figure as its CTO in 2022, months before the company exited stealth mode. Pratt had previously founded and led the humanoid startup Boardwalk Robotics. However, he and Figure quietly parted ways in the month prior to the Helix announcement. Pratt described the split as amicable, citing geographical reasons as a primary factor. He had been commuting between Pensacola, Florida, and California every two weeks. While he had initially planned to move to California around the two-year mark of his tenure, that plan ultimately did not work out. Figure's founder and CEO, Brett Adcock, spoke highly of his former CTO, indicating the separation was not acrimonious.
Figure is far from the only firm pursuing a general-purpose humanoid. The source material identifies Tesla, Apptronik, and OpenAI-backed 1X as other major players all tackling this immensely difficult problem. Each company appears to be taking a different strategic approach. Unlike Tesla's plan to be all things to all people at launch, Figure's approach is described as deliberate, focusing primarily on industrial warehouse applications to start. This suggests a phased rollout strategy, where the technology is first proven in more controlled, commercial environments before being unleashed on the unstructured chaos of a typical home.
The competitive landscape is active. Back in January, 1X announced a $100 million Series B funding round and has since hired prominent figures from companies like BMW and Tesla. Recent videos from 1X have showcased its wheeled robot, Eve, responding to voice commands and performing household tasks such as cleaning. This indicates that the race to develop a useful home robot is not just about hardware, but also about the software intelligence required to understand and act on natural language in a physical environment.
Why it matters for European robot service
For the European robotics ecosystem, the developments at Figure carry several implications, even if the company itself is US-based. The progress of Helix serves as a benchmark for what is technically feasible in the realm of general-purpose manipulation and human-robot interaction.
The emphasis on natural language as the primary interface is particularly relevant. European service robot operators have long grappled with the challenge of making robots accessible to non-expert users. If Helix's claims of object generalization hold up in real-world deployments, it could signal a shift in user expectations. Customers may begin to expect that a robot can understand a simple instruction like "tidy up the toys on the floor" without needing a detailed, pre-programmed routine for each specific toy.
This has direct implications for European companies that integrate or deploy robotic systems. The ability to control a robot via voice and have it handle novel objects could reduce the cost and complexity of deployment. Currently, many service robots require significant on-site programming to adapt to a new environment. A system with strong generalization capabilities could potentially be deployed with minimal customization, which would be a major selling point for small and medium-sized enterprises (SMEs) across Europe that lack dedicated robotics engineering teams.
The collaborative aspect of Helix—controlling two robots at once—is also noteworthy. In European logistics and warehousing, space is often at a premium, and workflows can be complex. A system where two robots can work together on a task, such as receiving and storing goods, could offer new efficiencies. However, it also raises questions about safety and coordination in shared spaces with human workers, which are governed by strict regulations in the European Union.
The source material notes that Figure's initial focus is on industrial warehouse applications. This is a segment where European companies are already active, with a mix of established automation providers and agile startups. The entry of a well-funded player like Figure, with its substantial bootstrapping and venture capital backing, could intensify competition. European robot service providers may need to differentiate themselves through specialized expertise, local support, or integration with existing European manufacturing and logistics infrastructure.
Furthermore, the funding landscape is a signal. Figure's ability to raise a $70 million Series A, and 1X's $100 million Series B, demonstrates that investors are willing to place large bets on humanoid robotics. This capital influx may attract more talent and accelerate development cycles. For European firms, this could mean either increased pressure to innovate or new opportunities for partnership and acquisition, depending on their strategic positioning.
The personnel movements also matter. The departure of Jerry Pratt, a highly respected figure in the humanoid robotics research community, from Figure to pursue other interests (reportedly a new project called Cover) highlights the fluidity of talent in this sector. European companies looking to build or maintain a competitive edge may find opportunities to recruit experienced engineers and researchers who are mobile within the global robotics job market.
It is also important to consider the regulatory environment. The European Union is actively developing regulations for artificial intelligence and robotics. The capabilities demonstrated by Helix, particularly in natural language processing and autonomous decision-making, will likely fall under scrutiny. European robot service operators will need to ensure that any systems they deploy, whether from Figure or other manufacturers, comply with EU safety, privacy, and AI regulations. The fact that Helix is designed to operate in home environments, which are considered private spaces, raises additional questions about data collection and user consent.
The source material does not specify the timeline for Figure's commercial availability in Europe, nor does it provide details on pricing, service contracts, or compliance with European standards. What is known is that the technology is progressing rapidly, and the competitive pressure is mounting. European stakeholders—from warehouse operators to home healthcare providers—should monitor these developments closely, as the capabilities demonstrated by Helix could soon become available in commercial products that target the European market.
What buyers and operators should know
For potential buyers and operators of robotic systems, the Helix demonstration offers several points of consideration, though it is crucial to distinguish between what has been demonstrated and what has been commercially validated.
First, the claim of object generalization is significant but should be evaluated with caution. Figure states that Helix can pick up thousands of novel household items never encountered in training. This is a remarkable claim that, if true, would solve one of the major pain points in robotic manipulation. However, the source material does not provide specific performance metrics, such as success rates, handling times, or the range of objects tested. Buyers should inquire about the robustness of this capability in real-world conditions, including variations in lighting, clutter, and object orientation.
Second, the system's reliance on natural language is a double-edged sword. While it makes the robot more accessible, it also introduces potential failure modes. The source material does not specify how Helix handles ambiguous commands, multiple speakers, or background noise. In a busy warehouse or a noisy home, voice recognition can degrade. Operators should consider whether the system includes fallback mechanisms, such as a graphical user interface or manual override, for situations where voice commands are not feasible.
Third, the dual-robot control capability is a differentiator, but it also implies a higher level of system complexity. Coordinating two robots requires sophisticated software for path planning, collision avoidance, and task allocation. The source material does not detail the safety systems in place for when these robots operate near humans. Buyers should ask about safety certifications, emergency stop procedures, and risk assessments, particularly if the robots are intended for environments where human workers are present.
Fourth, the company's strategic focus on industrial warehouse applications is a useful signal for potential buyers. This suggests that Figure is prioritizing reliability and functionality in commercial settings over the broad, unstructured demands of the home. For warehouse operators, this could mean that the technology is being developed with their specific needs in mind, such as handling boxes, sorting items, or restocking shelves. However, it also means that the home-use case, while demonstrated, may not be the immediate commercial priority.
Fifth, the financial backing and company trajectory are relevant factors. Figure's initial $100 million bootstrapping and subsequent $70 million Series A indicate a strong financial foundation, which is important for a hardware company that will need to invest heavily in manufacturing and support infrastructure. However, the source material does not provide information on the company's revenue, profitability, or customer base. Buyers should assess the long-term viability of any robotics vendor, including their service and support commitments.
The source material also does not disclose specific technical specifications for Helix, such as its payload capacity, battery life, computational requirements, or connectivity options. These are critical factors for any deployment decision. Without this information, it is difficult to assess whether Helix is suitable for a particular use case. Buyers should request detailed specifications and, ideally, a demonstration or pilot program before making any commitments.
It is also worth noting the competitive context. With Tesla, Apptronik, and 1X all pursuing similar goals, the market is likely to see rapid iteration and price competition. Buyers may benefit from waiting to see how the technology matures and what pricing models emerge. However, waiting also carries the risk of falling behind competitors who adopt early.
Finally, the source material does not provide any information on the availability of Helix for purchase, its pricing, or its target markets. It is unclear when the robot will be commercially available, in what volumes, and in which geographic regions. European buyers should specifically inquire about the availability of the system in Europe, including compliance with CE marking, GDPR for any data processing, and the availability of local support and spare parts.
In summary, the Helix demonstration is an impressive technical achievement that signals the rapid advancement of humanoid robotics. For buyers and operators, the key takeaway is to approach the technology with informed optimism. The capabilities are promising, but the commercial details—performance metrics, safety certifications, specifications, pricing, and availability—remain largely undisclosed. A prudent approach would be to engage with the vendor for detailed information, request demonstrations, and consider pilot projects to validate the technology in specific operational contexts.
Published by Vigla Media OÜ (Estonia).
Sources
Figure’s humanoid robot takes voice orders to help around the house