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ROS-Based Mobile Manipulator Platform for Robotics and Embodied AI Research
This configurable mobile manipulator platform combines an omnidirectional mobile base, a robotic arm, perception sensors, onboard computing, and a ROS-based development environment for robotics research, teaching, and AI prototyping. AIsirRobot helps research institutions and R&D teams review task requirements, confirm compatible hardware and software configurations, integrate required sensors or end-of-arm tooling, and define validation and support scope before delivery.
What This Platform Is
This is a configurable research platform, not a turnkey autonomous robot. It provides the integrated hardware and software foundation for teams developing mobile manipulation workflows that require navigation, perception, and physical interaction on one system.
The platform pairs an omnidirectional mobile base with a 7-axis robotic arm and a two-finger gripper. Onboard perception includes dual LIDAR units (2D and 3D), an RGB-D camera, and an IMU, all coordinated by an onboard mini computer. Built on the ROS framework, it allows researchers to move beyond simulation and test algorithms on physical hardware that navigates real environments, manipulates real objects, and processes sensor data in real time.
The exact capabilities depend on the selected arm configuration, end effector, sensor suite, onboard computing load, ROS environment, and application software. Research functions such as force-controlled manipulation, learning-based policies, or specialized tool use require compatible hardware additions and project-specific development and validation.
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Research and Development Workflows
This platform is built to support research and education applications where teams need a physical system to develop and validate robotics and AI algorithms. Below are the research directions this platform can serve, with the hardware and software prerequisites for each.
- Embodied AI research: Testing learning-based policies on hardware that navigates and manipulates in real environments. Requires compatible AI frameworks and sufficient onboard compute for the target model scale.
- Mobile manipulation development: Prototyping pick-and-place, object handover, and tool-use tasks that require coordinated mobility and manipulation. Requires arm and gripper configuration suited to the target object weights and shapes.
- SLAM and autonomous navigation: Building and testing mapping, localization, and path-planning algorithms using the onboard 2D/3D LIDAR, IMU, and RGB-D camera. Requires compatible SLAM stacks and sensor drivers for the selected ROS environment.
Beyond navigation and mapping, the platform also supports research into how robots interact safely with people in shared environments.
- Human-robot interaction: Evaluating perception and response behaviors in shared spaces with people. Requires safety assessment for the specific operating environment and interaction mode.
- AI model deployment: Running computer vision and reinforcement learning models on the onboard mini computer. Actual workload capacity depends on the compute configuration and model complexity.
- Education and training: Providing students with a complete, ROS-based platform to learn robotics integration, from sensor fusion to motion planning. Requires curriculum alignment and instructor configuration support.
Discuss Your ROS, Sensor, and Manipulation Requirements — Tell us about your software stack, sensor needs, and manipulation tasks. We will review compatibility and integration scope.
ROS and Development Environment
This platform is built on the ROS (Robot Operating System) framework, which provides a standardized software architecture for communication between sensors, actuators, and computing modules. Researchers can leverage the ROS ecosystem for navigation, manipulation, perception, and simulation development.
The specific ROS version (ROS 1 or ROS 2), distribution, operating system, sensor and actuator drivers, SDK/API access, and simulation package compatibility are confirmed for the selected configuration during the integration review. This ensures that the platform aligns with your existing software stack and research requirements before delivery.
The X‑7010 mini computer coordinates data flow between subsystems and runs user‑developed AI algorithms. Its compute capacity for specific workloads is confirmed during configuration review based on your target model complexity.
Configuration and Integration Options
AIsirRobot supports configuration and integration beyond the standard component list. The following options can be reviewed and confirmed based on your project requirements.
表格
| Category | Standard | Optional / Project‑Specific |
| Robotic Arm | 7‑axis arm | Alternative arm configurations, payload, or reach |
| End Effector | Two‑finger gripper | Alternative grippers, suction cups, or custom tooling |
| Perception | 2D/3D LIDAR, RGB‑D camera, IMU | Additional sensors, force‑torque sensors, or specialized cameras |
| Computing | X‑7010 mini computer | External GPU, additional compute units, or cloud integration |
| Software | ROS framework | Custom ROS packages, drivers, or simulation environments |
| Safety | Safety bumper, work status indicators, turn signal | Risk assessment, speed limiting, or area‑scanner integration |
Force‑control development requires a compatible arm and/or force‑torque sensing configuration. Dual‑arm coordination is not supported with the standard single‑arm configuration. These and other advanced capabilities are evaluated as project‑specific requirements.
Validation and Delivery
AIsirRobot follows a structured validation and delivery process to ensure the platform meets your research requirements before shipment.
| Stage | What Happens | What You Provide |
| Requirements Review | We assess your research objectives, software stack, experiment space, safety needs, and budget | Research goals, current ROS environment, target tasks |
| Configuration Confirmation | We confirm compatible arm, sensors, computing, and software for your workflow | Specific sensor, manipulation, or computing requirements |
| Integration | We integrate selected components, configure drivers, and verify sensor communication | Access to your team for technical alignment |
| Factory Acceptance Test (FAT) | We test navigation, manipulation, sensor function, and system stability before shipment | Acceptance criteria and test scenarios |
| Delivery and Setup | We ship the configured platform with documentation and provide remote setup support | Site readiness and network/environment details |
| Training and Support | We provide orientation training and ongoing remote support | Team availability for training sessions |
The exact scope of each stage depends on the final configuration and integration requirements. Warranty, lead time, and support terms are confirmed with the order.
Why AIsirRobot
AIsirRobot is a robotics solutions provider, not a component reseller. We help research institutions and R&D teams navigate the gap between buying hardware and running a working research platform.
- Configuration matching: We review your research objectives and confirm which arm, sensors, computing, and software configurations are compatible before you commit.
- Integration support: We handle driver configuration, sensor communication, ROS environment setup, and component compatibility verification.
- Technical communication: We work with your engineering team to define acceptance criteria, test scenarios, and validation scope.
- Lifecycle support: We provide documentation, training, remote support, and spare‑part coordination after delivery.
We do not manufacture the components on this platform. We select, configure, integrate, verify, and support them as a complete research system.
Commercial Information
| Item | Details |
| Brand | AIsirRobot |
| Warranty | 12 months |
| Lead Time | 35 days |
| MOQ | 1 unit |
Warranty, lead time, and MOQ are subject to final configuration, integration scope, and order confirmation. Support scope and regional availability are confirmed during the requirements review.
To request a formal quotation, share your research objectives and required configuration via the form below. We will respond with a configuration review, timeline estimate, and pricing within 2 business days.
Frequently Asked Questions
Q1: What is this platform designed for?
This platform is designed for robotics and AI research, university education, and R&D prototyping. It combines a mobile base, 7‑axis robotic arm, 2D/3D LIDAR, RGB‑D camera, IMU, and onboard computing into one integrated system for testing algorithms on physical hardware. It is a development platform, not a turnkey autonomous robot.
Q2: What software framework does the platform use?
The platform is built on the ROS (Robot Operating System) framework. The specific ROS version, distribution, operating system, drivers, and supported packages are confirmed for the selected configuration during the integration review.
Q3: What is the maximum payload?
The rated mobile‑base payload is 100 kg under standard conditions. This refers to the mobile base payload capacity, not the robotic arm lifting capacity. Actual usable payload depends on the arm, sensors, tray, and battery configuration. Arm payload is confirmed separately based on the selected arm configuration.
Q4: How long does the battery last?
The runtime is up to 24 hours based on the manufacturer’s highlight card. Actual operating time varies significantly with payload, arm duty cycle, sensor usage, compute load, and route conditions. Battery specifications and charging time are confirmed during configuration review.
Q5: Can the robotic arm and gripper be customized?
The standard configuration includes a 7‑axis robotic arm and a two‑finger gripper. Alternative arm configurations, grippers, suction cups, or custom tooling can be evaluated based on your project requirements. Force‑torque sensing and other advanced manipulation capabilities require compatible hardware additions. Contact us to discuss your specific needs.
Q6: What is the IP rating, and can the robot operate outdoors?
The IP54 rating provides protection against dust ingress and water splashing. The platform is suitable for indoor laboratory use and light outdoor conditions. It is not rated for heavy rain, washdown, or harsh industrial environments. The rating applies to the verified configuration.
Q7: What is included in the delivery?
Delivery includes the configured platform with all standard components, documentation, and remote setup support. Training orientation and ongoing remote support are provided. The exact delivery scope depends on the final configuration and integration requirements.
Q8: What is the pricing structure?
Pricing depends on the selected arm configuration, sensor suite, computing requirements, and integration scope. Share your research objectives and budget range, and we will provide a configuration review with estimated pricing.
Q9: How do I get started?
Submit Your Research Objectives and Required Hardware/Software Stack — Send us your research goals, current software environment, target tasks, and any specific sensor or manipulation requirements. We will review your requirements and confirm the right configuration, timeline, and support scope for your project.
