At Automatica 2025, Delta Electronics is set to introduce two new collaborative robot models to the European market: the D-Bot Mar and the D-Bot 2 in 1. The announcement, which surfaced in late June 2025, positions these robots as part of a broader strategy to embed artificial intelligence more deeply into manufacturing operations. While the exact day of the trade fair presentation has not been specified in the available material, the timing aligns with the event's 2025 cycle, and the disclosure was made public in the 2025-06 timeframe.
The two robots are not standalone novelties but rather components of a larger platform that Delta has been developing under the D-Bot Robotics banner. According to the source material, Delta Electronics—a Taiwanese company known for its work in industrial automation and energy technology—has been integrating Nvidia's Omniverse libraries and Isaac Sim into its robotics development pipeline since late 2024. This integration allows engineers to design, simulate, and validate complex automation systems in a fully virtual environment before any physical hardware is deployed. The D-Bot Mar and D-Bot 2 in 1 are the latest outputs of this digital twin-driven approach.
The significance of this announcement extends beyond the products themselves. The source material notes that these robots are part of a wider initiative to integrate AI into manufacturing applications, a push that is being supported by a $200 billion investment initiative from the European Commission. This financial backing underscores a coordinated effort to position Europe at the forefront of the next wave of industrial automation, powered by artificial intelligence. While the exact allocation of these funds and the specific role Delta's robots will play in that initiative are not detailed in the source, the connection between the company's product launch and the broader European industrial strategy is explicitly drawn.
It is also worth noting that Delta is not alone in this space. The source material references Doosan Robotics, a company specializing in AI robotic solutions, which will also be showcasing its "sim to real" solution at the same event, using Nvidia Isaac Sim and cuRobo. Doosan's demonstration will focus on how tasks can be seamlessly transferred from simulation to real robots across a range of applications, from manufacturing to service industries. This parallel development suggests that the industry as a whole is moving toward simulation-first methodologies, and Delta's announcement should be viewed within this competitive and collaborative context.
Product and availability details
The D-Bot Mar and D-Bot 2 in 1 are described as collaborative robots—cobots, in industry parlance—designed to work alongside human operators rather than replace them. Their primary function, according to the source, is to optimize intralogistics and production flows. Intralogistics refers to the internal movement of materials, goods, and information within a facility, and it is an area where cobots have been gaining traction due to their flexibility and relatively low deployment costs compared to traditional industrial robots.
The D-Bot 2 in 1, as the name suggests, appears to combine two functions in a single unit, though the specific dual capabilities are not elaborated upon in the source material. Similarly, the D-Bot Mar's name does not reveal its intended application, and the source does not provide technical specifications such as payload, reach, or speed. What is known is that both robots were trained using Omniverse and Isaac Sim technologies and libraries. This training methodology is a key differentiator, as it allows the robots to learn and refine their behaviors in a simulated environment, reducing the need for extensive physical prototyping and enabling faster iteration cycles.
Delta's broader D-Bot Robotics Platform, which was unveiled at SPS 2025 in Nuremberg, provides the architectural foundation for these new models. The platform is described as scalable, cost-effective, and sustainable, designed to bring smart factory automation to both global enterprises and small to mid-sized enterprises (SMEs). The platform series unites all systems under one common architecture, which is intended to simplify integration across production, logistics, and assembly operations. This common architecture is a significant selling point, as it means that a facility deploying one D-Bot model can more easily add others or reconfigure existing systems without having to manage disparate control frameworks.
The source material does not specify when the D-Bot Mar and D-Bot 2 in 1 will be commercially available, nor does it provide pricing information. It also does not disclose whether these models are already in production or if they are still in the demonstration phase. For buyers and integrators, this means that the immediate takeaway is the technological direction rather than a concrete purchasing timeline. What is clear is that Delta is positioning these robots as part of a platform that can be tailored to different scales of operation, from large multinational factories to smaller workshops that are just beginning their automation journeys.
The use of digital twin technology is central to Delta's value proposition. By integrating Nvidia Omniverse libraries and Isaac Sim, Delta says it is "redefining robotics development." This is not merely a marketing claim; it reflects a fundamental shift in how the company approaches robot design and validation. In a fully virtual environment, engineers can test thousands of scenarios, identify potential failure points, and optimize workflows without tying up physical resources. This approach can shorten development cycles and reduce the costs associated with physical trial-and-error. For end users, the benefit is that the robots they receive have been more thoroughly vetted in simulation, potentially leading to higher reliability and smoother deployment.
What it means for buyers
For buyers considering the D-Bot Mar and D-Bot 2 in 1, the immediate implications are several. First, the simulation-first development approach means that these robots are designed with a level of pre-deployment validation that was previously reserved for much larger, more expensive automation systems. The use of Nvidia's Omniverse and Isaac Sim is not incidental; it is a deliberate choice to leverage industry-standard tools that allow for interoperability with other simulation ecosystems. This could make it easier for buyers who already use Nvidia-based simulation tools to integrate Delta's robots into their existing digital workflows.
Second, the focus on intralogistics and production flow optimization suggests that these cobots are intended for environments where space is constrained and tasks are varied. Unlike traditional industrial robots that are often bolted to a fixed position and programmed for a single repetitive task, cobots like the D-Bot Mar and D-Bot 2 in 1 are typically designed to be re-deployable. They can be moved between workstations, reprogrammed for different tasks, and operated safely alongside human workers without extensive safety fencing. This flexibility is particularly valuable for SMEs, which may not have the volume to justify a dedicated automation line but can benefit from a versatile assistant that handles multiple tasks throughout the day.
Third, the common architecture of the D-Bot Robotics Platform is a strategic consideration for buyers who are planning for the long term. Investing in a robot is not just about the immediate task; it is about the ecosystem that the robot is part of. Delta's approach of unifying all systems under one architecture means that as a buyer's needs grow, they can add additional D-Bot models or peripherals without having to learn a new control system or integrate disparate software stacks. This reduces the total cost of ownership and lowers the barrier to scaling automation across a facility.
However, there are notable gaps in the available information that buyers should be aware of. The source material does not provide specific performance metrics for the D-Bot Mar or D-Bot 2 in 1. Payload capacity, reach, repeatability, and cycle times are all undisclosed. Similarly, there is no information on connectivity standards, safety certifications, or compliance with specific European machinery directives. Buyers who are evaluating these robots for specific applications will need to wait for detailed technical datasheets or contact Delta directly for specifications.
Additionally, the source does not mention service and support arrangements. There are no stated service-level agreements, response times, or spare-part lead times. For industrial buyers, after-sales support is often as important as the hardware itself, and the absence of this information in the source material means that it should be a key question for any potential purchase. It is also worth noting that the source does not indicate whether the D-Bot Mar and D-Bot 2 in 1 are available for immediate order or if they are being shown as technology demonstrators with a later commercial release date.
The broader context of the $200 billion European Commission investment initiative is another factor that buyers should consider. While the source does not detail how this funding will be distributed, it signals a strong policy commitment to AI-driven industrial automation. This could translate into grants, tax incentives, or subsidized loans for companies that adopt such technologies. Buyers in Europe may be able to offset some of the capital costs of deploying cobots through these programs, though the specifics would need to be verified with relevant national or regional authorities.
Finally, the competitive landscape is worth noting. Doosan Robotics' "sim to real" solution, also showcased at Automatica, indicates that the market is moving in a similar direction. For buyers, this is beneficial, as it means there will be multiple vendors offering simulation-trained cobots, which can drive down prices and improve quality through competition. However, it also means that buyers need to carefully evaluate which platform best fits their specific needs, as the underlying technologies may be similar but the implementation details, ecosystem integrations, and support structures will differ.
In summary, the D-Bot Mar and D-Bot 2 in 1 represent Delta's continued commitment to simulation-driven robotics development. The use of Omniverse and Isaac Sim is a clear signal that the company is aligning with industry-standard tools for digital twin technology. For buyers, the key takeaways are the potential for faster deployment, greater flexibility, and a unified platform architecture that can scale with their needs. However, the lack of disclosed technical specifications, pricing, and availability dates means that a purchasing decision should be preceded by direct engagement with Delta to obtain the missing details. The source material provides a solid overview of the strategic direction, but the tactical specifics remain to be clarified.
Sources
Delta Electronics to showcase new collaborative robots at Automatica
Published by Vigla Media OÜ (Estonia).