Dacha RobotGPT multi-modal large model

What is DaTa RobotGPT?

RobotGPT is a multimodal, embodied large model developed by Darka Robotics, designed for real-world robot interactions and task execution.

It not only generates text, but also needs to understand environmental information and transform tasks into constrained robotic actions.

Core competencies

Multimodal interaction

Official materials describe RobotGPT as an interactive generation model designed for complex robotic scenarios.

• Receive tasks and additional conditions through text.
• It enables more natural human-computer interaction through voice support.
• Understand the scene by combining environmental information such as images.
• Complete the interaction sequentially based on the context.
• Task responses are generated within the framework of the rules.

The specific sensors, language, and input format depend on the robot’s design and the project’s configuration.

Robot behavior generation and control

The uniqueness of RobotGPT lies in extending the model’s reasoning to robot behavior, rather than merely generating dialogue text.

• Understand users' natural language tasks.
• Identify objects on-site and the status of the environment.
• Plan the steps of the task and their order of execution.
• Convert the plan into instructions that the equipment can follow.
• Adjust subsequent actions based on the feedback from execution.

The model’s output cannot bypass the robot controller, safety interlocks, or manual authorization.

Product ecosystem and deployment relationship

RobotGPT can serve as an intelligent component within the Darka robotics system, working in conjunction with the platform, operating system, and robotic devices.

Different projects may not include all of the components listed above; the technical specifications and the contract outline shall prevail.

Applicable industry scenarios

RobotGPT Implementation Tutorial

1. Identify the robot-related business tasks that need to be addressed.
2. Identify risks related to the venue, crowd, and equipment.
3. Verify the robot body and sensor configuration.
4. Submit scenario and deployment requirements to the authorities.
5. Verify the compatibility of models, platforms, and interfaces.
6. Define permissible actions and prohibited actions.
7. Configure identities, roles, and operation permissions.
8. Tests are carried out in a simulation or isolated environment.
9. Verify emergency stop, interlock, and fault degradation.
10. Conduct small-scale pilot projects in controlled areas.
11. Log misidentifications, malfunctioning, and manual intervention.
12. After acceptance, gradually expand the scope of use.

Prices and project quotes

As of the time of verification, the official website did not display RobotGPT’s standard public packages or a unified pricing for its usage.

The price information was verified on August 30, 2026; the final cost shall be based on the official proposal, quotation, and contract.

What needs to be confirmed before making a purchase?

• Whether there are existing successful examples for the target task.
• Clear versions of the model and the robot chassis.
• The software and hardware included, as well as the implementation services.
• Deployment location, network, and computing power requirements.
• Rules for data storage, retrieval, and deletion.
• Number of interfaces, concurrency, and call limits.
• Acceptance criteria and fault response time.
• Upgrades, renewals, and maintenance fees.

Developer platform, APIs, and SDKs

Datta provides access to a developer community, but the official product page for RobotGPT does not list any unified public API packages.

• The developer portal does not mean that the interfaces can be called anonymously.
• API, SDK, and documentation permissions are subject to the settings on the current account page.
• The device control interface is usually tied to a specific project.
• Call quotas, concurrency, and service levels need to be confirmed separately.
• Authentication and security assessments must be completed before production access is granted.

Open-source status

As of the time of verification, Dachata has not made the complete source code of RobotGPT, its model weights, or the training data available to the public.

• The fact that a product can be integrated does not mean that the model is open source.
• Making development tools available publicly does not mean that the core models are made accessible as well.
• The third-party project with the same name, RobotGPT, is not the official source code.
• Private deployment does not equate to ownership of the code.

Algorithm registration and compliance

According to official information, the multi-modal embodied large-model algorithm of RobotGPT has been registered as a deep synthesis service algorithm in the country.

Registration of an algorithm does not mean that every robotic application will automatically meet the relevant regulations; it is still necessary to assess the industry-specific, data, and security requirements.

Robot safety boundaries

Embodied models may affect real devices; safety controls should be independent of the results generated by large models.

• Retain accessible physical emergency stop devices.
• Use a safety controller to limit speed and force.
• Set up geofences and no-entry zones.
• High-risk actions must be manually confirmed.
• It enters a safe state when communication is interrupted.
• It is prohibited to modify the safety interlock parameters of the model.
• Retain action, alert, and takeover logs.

Data and Privacy Protection

• The use of cameras and microphones for data collection must be based on legal grounds.
• Indicate the robot’s collection range in a prominent location.
• Reduce the storage of facial, voice, and location data.
• Sensitive data such as medical and financial information should be protected separately.
• Clarify the scope of cloud-based processing and cross-regional data transmission.
• Set retention and deletion periods in accordance with the terms of the contract.
• Restrict access for maintenance personnel and third parties.

Testing and acceptance recommendations

• Test using noise and occlusions from the real environment.
• Covers dialects, ambiguities, and malicious commands.
• Response of the verification personnel upon sudden entry into the operational area.
• Test for network disconnection, power loss, and sensor failures.
• Track the success rate of statistical tasks and the rate of manual intervention.
• Check whether a false operation has triggered the safety protection.
• It is approved jointly by the business, security, and equipment teams.

Which users are it suitable for

• Companies that develop service robot projects.
• A team dedicated to advancing industrial inspections and collaboration.
• Institutions that study embodied intelligence and robots.
• Developers who need robot platform integration.
• Evaluate the purchasers of cloud robotics solutions.

Product advantages

• It is focused on multi-modal interaction and behavior generation in robots.
• It can be integrated with Daka’s existing robot product portfolio.
• It covers multiple industries and public service sectors.
• It emphasizes the robot’s capability to handle tasks in complex scenarios.
• It has official algorithm registration information.

Usage restrictions and precautions

• The official website does not disclose the prices of the standard packages.
• The details of the public APIs and SDKs are rather limited.
• The weights of the core models and the source code are not made public.
• The actual performance depends on the ontology and sensor configuration.
• Cloud connections may be affected by network latency.
• The model may misjudge the environment or generate incorrect actions.
• Manual intervention must be retained for high-risk scenarios.

Frequently Asked Questions

What is DaTa RobotGPT?

It is a multi-modal embodied large model designed for complex robotic scenarios; it can understand various types of information and generate corresponding robot behaviors.

What is the difference between RobotGPT and ordinary chat models?

While ordinary chat models are mainly used for generating content, RobotGPT is also designed for environmental understanding, task planning, and control of robot movements.

Which industries does RobotGPT support?

The official website lists industries such as energy and power, healthcare, finance, retail, education, manufacturing, and transportation hubs.

How is RobotGPT priced?

The official website does not list any standard packages; costs for integrating models, using robots, as well as for deployment and maintenance must be determined upon request based on each individual project.

Does RobotGPT offer a public API?

The official platform provides access for developers, but the public product page does not reveal any standard API packages; eligibility to use these interfaces must be confirmed with the authorities.

Is RobotGPT an open-source model?

No, no complete publicly available source code, model weights, or training data have been found; projects with the same name developed by third parties cannot be used interchangeably.

Can robot movements be entirely entrusted to large models?

No, the movements must be subject to emergency stops, safety interlocks, access controls, and manual confirmation, and they must also go through controlled testing.