Commercial model
$28,800 list price
A published price gives buyers a starting point for budgeting, ROI modeling, and peer comparison before deeper vendor conversations begin.
Robot dossier
L1 Agile Mobile Manipulator
Release
Apr 1, 2026
Price
¥28,800
Connectivity
2
Status
Active
Payload
6 kg per arm officially listed; HouseBots reports 100 kg base payload
Research
Active
L1 Agile Mobile Manipulator
The L1 Agile Mobile Manipulator is VLAI Robotics' wheeled dual-arm embodied-AI platform for research, education, manufacturing, logistics, inspection, service, and other structured mobile-manipulation workflows. VLAI's official site lists the L1 as a mobile robot with X1 high-dexterity humanoid dual arms, 8 degrees of freedom per arm, 16 degrees of freedom total, 6 kg per-arm payload, compliant force control, gravity compensation, ROS 2/Isaac Sim/MuJoCo/LeRobot compatibility, VR teleoperation, and data-collection tooling. HouseBots coverage reports an adjustable dual-arm working range of 70-160 cm, a wheeled base, open developer interfaces, and a 28,800 CNY starting price. It is notable as an unusually low-cost wheeled mobile manipulator, but public battery, sensor, navigation, and international availability details remain limited.
Listed price
¥28,800
HouseBots launch coverage reports an approximately $4,188 / 28,800 CNY starting price; VLAI's current official site confirms the L1 but does not publish public pricing.
Release window
Apr 1, 2026
Current status
Active
VLAI Robotics
Last verified
May 22, 2026
Share this robot
Open a plain share composer on X or Bluesky for this robot profile.
Technical overview
Core specifications and system stack
A fast read on the mechanical profile, sensing package, and platform integrations behind L1 Agile Mobile Manipulator.
Technical Specifications
Height
Adjustable dual-arm working range reported as 70-160 cm; overall height not officially disclosed
Weight
Not officially disclosed
Dimensions
Wheeled base with adjustable dual arms; full dimensions not officially disclosed
Battery Life
Rechargeable battery; runtime not officially disclosed
Charging Time
Not officially disclosed
Max Speed
Not officially disclosed
Payload
6 kg per arm officially listed; HouseBots reports 100 kg base payload
Tech Components
Sensors (1)
Operational profile
How this robot is configured
Capabilities
10
Connectivity
2
Key capabilities
Wheeled Dual-Arm Mobile Manipulation16-DOF Humanoid Dual Arms6 kg Per-Arm PayloadAdjustable 70-160 cm Working RangeCompliant Force ControlGravity CompensationVR TeleoperationEmbodied-AI Data Collection
Ecosystem fit
ROS 2Isaac SimMuJoCoLeRobotVLAI teleoperation and data-collection tooling
Explore further
Benchmark set
Compare with similar robots
Shortcuts to the closest alternatives in the current ui44 set.
Research
Asimov DIY Kit (Here Be Dragons Edition)
Menlo Research
$15,000
Pre-order
Price is 13,800 USD lowerStatus differs: Active vs Pre-order
Compare side by side
Research
NAO6
Aldebaran / Maxtronics
$16,990
Active
Price is 11,810 USD lowerRelease is 8y older
Compare side by side
Research
Reachy 2
Pollen Robotics
Price TBA
Active
Release is 2y olderPayload is 3.0 kg lower1 shared capability
Compare side by side
Research
Ameca
Engineered Arts
Price TBA
Active
Release is 5y older
Compare side by side
About the L1 Agile Mobile Manipulator
1Sensor2Protocols10Capabilities$28.8kListed Price
The L1 Agile Mobile Manipulator is a Research robot built by VLAI Robotics. The L1 Agile Mobile Manipulator is VLAI Robotics' wheeled dual-arm embodied-AI platform for research, education, manufacturing, logistics, inspection, service, and other structured mobile-manipulation workflows. VLAI's official site lists the L1 as a mobile robot with X1 high-dexterity humanoid dual arms, 8 degrees of freedom per arm, 16 degrees of freedom total, 6 kg per-arm payload, compliant force control, gravity compensation, ROS 2/Isaac Sim/MuJoCo/LeRobot compatibility, VR teleoperation, and data-collection tooling. HouseBots coverage reports an adjustable dual-arm working range of 70-160 cm, a wheeled base, open developer interfaces, and a 28,800 CNY starting price. It is notable as an unusually low-cost wheeled mobile manipulator, but public battery, sensor, navigation, and international availability details remain limited.
At a listed price of $28,800, it positions itself in the enterprise segment of the research market. See all VLAI Robotics robots on the VLAI Robotics page.
Spec Breakdown
Detailed specifications for the L1 Agile Mobile Manipulator
Height
Adjustable dual-arm working range reported as 70-160 cm; overall height not officially disclosedAt Adjustable dual-arm working range reported as 70-160 cm; overall height not officially disclosed, the L1 Agile Mobile Manipulator is sized for its intended operating environment and use cases.
Dimensions
Wheeled base with adjustable dual arms; full dimensions not officially disclosedThe overall dimensions of Wheeled base with adjustable dual arms; full dimensions not officially disclosed define the robot's physical footprint and determine what spaces it can navigate and what clearances it requires for operation.
Battery Life
Rechargeable battery; runtime not officially disclosedWith a battery life of Rechargeable battery; runtime not officially disclosed, the L1 Agile Mobile Manipulator can operate for sustained periods before requiring a recharge. Battery life is measured under typical operating conditions and may vary based on workload intensity and environmental factors.
Payload Capacity
6 kg per arm officially listed; HouseBots reports 100 kg base payloadA payload capacity of 6 kg per arm officially listed; HouseBots reports 100 kg base payload determines what the robot can carry or manipulate. This is a critical spec for practical applications where the robot needs to handle physical objects.
The L1 Agile Mobile Manipulator uses Embodied-AI development platform with ROS 2, Isaac Sim, MuJoCo, LeRobot, VR teleoperation, and data-collection compatibility; VLAI has not disclosed onboard compute or model details. as its intelligence backbone. This AI platform powers the robot's decision-making, perception processing, and autonomous behavior. The sophistication of the AI stack directly impacts how well the robot handles unexpected situations and adapts to new environments.
L1 Agile Mobile Manipulator Sensor Suite
The L1 Agile Mobile Manipulator integrates 1 sensor type, forming the perceptual foundation that enables autonomous operation.
This sensor configuration enables the L1 Agile Mobile Manipulator to perceive its environment and operate autonomously in its intended use cases. Multiple sensor modalities provide redundancy and more robust perception than any single sensor type alone.
Explore sensor technologies: components glossary · full components directory
L1 Agile Mobile Manipulator Use Cases & Applications
Research robots serve as platforms for advancing robotics science and engineering. They enable researchers to test theories about locomotion, manipulation, perception, and human-robot interaction in controlled and real-world environments.
Capabilities That Enable Real-World Use
The L1 Agile Mobile Manipulator offers 10 distinct capabilities, each contributing to the robot's practical utility.
Wheeled Dual-Arm Mobile Manipulation
16-DOF Humanoid Dual Arms
6 kg Per-Arm Payload
Adjustable 70-160 cm Working Range
Compliant Force Control
Gravity Compensation
VR Teleoperation
Embodied-AI Data Collection
Developer / Research Platform
Manufacturing, Logistics, Inspection, and Service Workflows
These capabilities work together with the robot's 1 onboard sensor type and Embodied-AI development platform with ROS 2, Isaac Sim, MuJoCo, LeRobot, VR teleoperation, and data-collection compatibility; VLAI has not disclosed onboard compute or model details. AI platform to deliver practical, real-world performance.
Ecosystem Integration
The L1 Agile Mobile Manipulator integrates with the following platforms and ecosystems, extending its utility beyond standalone operation.
ROS 2
Isaac Sim
MuJoCo
LeRobot
VLAI teleoperation and data-collection tooling
This ecosystem compatibility enables the L1 Agile Mobile Manipulator to work as part of a broader automation setup rather than operating in isolation.
L1 Agile Mobile Manipulator Capabilities
10
Capabilities
1
Sensor Type
AI
Embodied-AI development plat…
Wheeled Dual-Arm Mobile Manipulation
16-DOF Humanoid Dual Arms
6 kg Per-Arm Payload
Adjustable 70-160 cm Working Range
Compliant Force Control
Gravity Compensation
VR Teleoperation
Embodied-AI Data Collection
Developer / Research Platform
Manufacturing, Logistics, Inspection, and Service Workflows
Connectivity & Integration
How the L1 Agile Mobile Manipulator communicates with your network, smart home devices, cloud services, and companion apps.
Network & Communication Protocols
Network protocols for device communication — enabling the L1 Agile Mobile Manipulator to participate in various networking scenarios.
L1 Agile Mobile Manipulator Technology Stack Overview
The L1 Agile Mobile Manipulator by VLAI Robotics integrates 4 distinct technology components across sensing, connectivity, intelligence, and interaction layers. The physical platform features a height of Adjustable dual-arm working range reported as 70-160 cm; overall height not officially disclosed, providing the foundation on which this technology stack operates.
Perception — 1 Sensor Type
The perception layer is built on Not officially disclosed. These work in concert to give the robot a detailed understanding of its operating environment. This multi-sensor approach provides redundancy and enables the robot to function reliably even when individual sensors encounter challenging conditions such as low light, reflective surfaces, or cluttered spaces.
Connectivity — 2 Protocols
For communications, the L1 Agile Mobile Manipulator relies on Developer interfaces for base and arms, Remote control / teleoperation interface. This connectivity stack ensures the robot can communicate with cloud services, local smart home devices, mobile apps, and other networked systems in its environment.
Intelligence — Embodied-AI development platform with ROS 2, Isaac Sim, MuJoCo, LeRobot, VR teleoperation, and data-collection compatibility; VLAI has not disclosed onboard compute or model details.
Embodied-AI development platform with ROS 2, Isaac Sim, MuJoCo, LeRobot, VR teleoperation, and data-collection compatibility; VLAI has not disclosed onboard compute or model details. serves as the computational brain, processing sensor data, making navigation decisions, and orchestrating the robot's autonomous behaviors. The quality of this AI platform directly influences how well the robot handles novel situations, adapts to changes in its environment, and improves its performance over time through learning.
Who Should Consider the L1 Agile Mobile Manipulator?
Target Audience
Research robots are acquired by universities, government labs, and corporate R&D departments. They serve as experimental platforms for developing new algorithms, testing locomotion strategies, and advancing the field of robotics. Some are also used for educational purposes.
Key Considerations
Open-source software compatibility (ROS/ROS 2), sensor modularity, programmability, available SDK/API quality, community support, and published research papers using the platform are key factors. Documentation quality and the ability to modify both hardware and software are essential for research use.
Price Context
At $28.8k (HouseBots launch coverage reports an approximately $4,188 / 28,800 CNY starting price; VLAI's current official site confirms the L1 but does not publish public pricing.), the L1 Agile Mobile Manipulator sits in the professional price tier for research robots. This price point typically includes professional support, integration services, and ongoing software updates.
Availability
ActiveThe L1 Agile Mobile Manipulator is in active commercial production and currently sold by VLAI Robotics. Check the manufacturer's website or authorized retailers for the latest stock and ordering information.
L1 Agile Mobile Manipulator: Strengths & Trade-offs
Engineering compromises and where this research robot excels
What the L1 Agile Mobile Manipulator does well
Broad capability set
With 10 distinct capabilities, the L1 Agile Mobile Manipulator is designed as a versatile platform rather than a single-task device. This breadth means the robot can handle varied scenarios and workflows, reducing the need for multiple specialized robots and increasing its utility across different situations.
Substantial payload capacity
With a payload capacity of 6 kg per arm officially listed; HouseBots reports 100 kg base payload, the L1 Agile Mobile Manipulator can handle meaningful physical tasks. This capacity enables practical applications like carrying tools, transporting materials, or supporting equipment mounts that lighter robots simply cannot accommodate.
What to consider carefully
Focused sensor set
With 1 sensor type, the L1 Agile Mobile Manipulator takes a minimalist approach to perception. While this keeps costs down and reduces complexity, it may limit the robot's ability to handle edge cases or operate in environments that demand multi-modal awareness. Buyers should verify that the available sensors cover their specific use-case requirements.
Premium investment required
At $28,800, the L1 Agile Mobile Manipulator represents a significant investment. While the price reflects the advanced technology and engineering involved, it places the robot firmly in the professional or enterprise segment. Buyers should build a thorough ROI analysis and consider the total cost of ownership, including integration, training, and ongoing maintenance.
Note: This strengths and trade-offs assessment is based on the L1 Agile Mobile Manipulator's documented specifications as tracked in the ui44 database. Real-world performance depends on deployment conditions, firmware maturity, and environmental factors. For the most current information, check the VLAI Robotics manufacturer page or visit the official product page. Use the comparison tool to evaluate these trade-offs against competing robots in the same category.
How Research Robot Technology Works
Understanding the engineering behind this category
Research robots serve a fundamentally different purpose than commercial or consumer models. They are platforms for discovery — enabling scientists and engineers to test theories, develop algorithms, and push the boundaries of what robots can do. The technology in research robots prioritizes openness, flexibility, and access to raw data over consumer-friendly packaging or commercial reliability. Understanding this distinction is important for anyone considering a research robot platform.
Navigation & Mobility
Research robots typically expose their navigation systems at a much lower level than commercial products. Researchers can access raw sensor data, modify SLAM algorithms, implement custom path planners, and test novel navigation approaches. ROS (Robot Operating System) and ROS 2 compatibility is standard, providing a common framework for sharing navigation modules across the research community. This openness enables rapid iteration — a researcher can swap between different SLAM implementations, test new obstacle avoidance strategies, or develop entirely novel navigation paradigms without being locked into a vendor's proprietary stack.
The Role of AI
Research robots serve as physical testbeds for AI algorithms that may eventually appear in commercial products years later. Reinforcement learning, imitation learning, few-shot task learning, and human-robot interaction studies all require robot platforms that can execute AI-generated commands in the physical world. The gap between simulation (where training is cheap and fast) and reality (where physics is unforgiving) makes physical robot platforms essential for validating AI approaches. Research robots must support rapid deployment of new AI models without extensive integration work.
Sensor Fusion & Perception
Research platforms prioritize sensor modularity and data access. Standard mounting interfaces allow researchers to attach custom sensors alongside built-in ones. Raw sensor data streams (not just processed results) are accessible for developing novel perception algorithms. Precise time-stamping and synchronization across sensor streams enable accurate multi-modal fusion research. Many research robots include more sensors than strictly necessary for any single application, providing researchers with rich datasets for developing and testing new algorithms.
Power & Battery Management
Research robots balance operational runtime with practical lab use. Sessions of one to four hours are typical, with quick charging between experiments. Some research setups use tethered power for long-running experiments where battery limitations would interrupt data collection. Power monitoring and logging capabilities help researchers understand the energy costs of different behaviors and algorithms — important for developing efficient approaches that will eventually run on battery-constrained commercial systems.
Safety by Design
Research environments present unique safety challenges because robots are constantly being programmed with untested behaviors. Hardware safety limits (joint speed caps, force limits, emergency stops) must be robust regardless of software commands. Safety-rated monitored stop and speed monitoring ensure the robot cannot exceed safe operating parameters even when running experimental code. Collaborative operation standards apply when researchers work alongside the robot during experiments. Many labs implement layered safety with physical barriers for high-speed testing and open-area operation restricted to validated, lower-risk behaviors.
What's Next for Research Robots
Research robot platforms are becoming more accessible and capable. Cloud robotics enables remote experiment execution and shared datasets. Digital twins and high-fidelity simulators reduce the need for physical hardware time while improving sim-to-real transfer. Standardized benchmarks and open datasets enable fair comparison of results across labs. The democratization of robotics research — through lower-cost platforms, open-source software, and cloud infrastructure — is expanding who can contribute to advancing the field.
The L1 Agile Mobile Manipulator by VLAI Robotics incorporates many of these technology pillars. For a detailed look at the specific sensors and components used in the L1 Agile Mobile Manipulator, see the sensor analysis and connectivity sections above, or browse the complete components glossary for explanations of every technology used across the robotics industry.
L1 Agile Mobile Manipulator in the Research Market
How this robot compares in the research landscape
With a price point of $28,800, the L1 Agile Mobile Manipulator is squarely in the enterprise/professional segment. This pricing typically includes integration support, commercial-grade warranties, and ongoing software updates.
With 1 sensor type, the L1 Agile Mobile Manipulator takes a focused approach to perception, prioritizing the sensor modalities most relevant to its specific tasks rather than carrying a broad general-purpose sensor array.
Being currently available for purchase gives the L1 Agile Mobile Manipulator a practical advantage over competitors still in development or prototype stages. Buyers can evaluate the actual product rather than relying on spec-sheet promises that may change before release.
Head-to-Head Comparisons
Side-by-side specs, capability overlap analysis, and key differentiators.
For the full picture of VLAI Robotics's portfolio and market strategy, visit the VLAI Robotics manufacturer page.
Deployment Readiness and Procurement Signals for L1 Agile Mobile Manipulator
What the public profile tells you, and what still needs direct vendor confirmation
From a buying and rollout perspective, the L1 Agile Mobile Manipulator should be read as a research platform aimed at labs and development teams validating robotics workflows. ui44 currently tracks 10 capability signals, 1 sensor input, and a last verification date of 2026-05-22. That mix gives buyers a useful first-pass picture, but it is still only the public layer of due diligence, especially when procurement, uptime, and support commitments are decided directly with VLAI Robotics.
Integration posture
2 connectivity options
The profile lists Developer interfaces for base and arms, Remote control / teleoperation interface, plus Embodied-AI development platform with ROS 2, Isaac Sim, MuJoCo, LeRobot, VR teleoperation, and data-collection compatibility; VLAI has not disclosed onboard compute or model details. as the AI stack. That is enough to infer the basic network posture, but buyers should still confirm APIs, fleet management, and workflow integration details. ui44 currently tracks 5 declared compatibility links.
Spec disclosure
1/7 core specs public
ui44 currently has 1 of 7 core physical and operating specs filled in for this model, leaving 6 gaps that matter for deployment planning. Missing runtime, charge, speed, or payload details can materially change staffing and site-readiness assumptions.
The current profile is useful for scouting, but it still leaves meaningful operational unknowns. If this robot is heading toward a pilot or purchase discussion, the next step should be a structured vendor Q&A that fills the remaining runtime, charging, payload, safety, or integration blanks before anyone builds ROI assumptions around it.
If you want a faster apples-to-apples read, compare the L1 Agile Mobile Manipulator against nearby alternatives in ui44's compare view, then cross-check the underlying AI, sensor, and subsystem terms in the components glossary. For manufacturer-level context, the VLAI Robotics profile helps anchor this robot inside the wider product lineup.
Before you sign off on a pilot, confirm these points
- Ask for real shift runtime under the intended workload, not just standby endurance.
- Confirm how the charging workflow works in practice, including charger count, swap options, and expected downtime.
- Verify travel speed and cycle time if the robot must keep up with people, lines, or service windows.
- Check what safety, electrical, or deployment certifications exist for the region and task you care about.
Owning the L1 Agile Mobile Manipulator: Setup, Maintenance & Tips
Practical guide from day one through years of ownership
Initial Setup
Research robot setup combines hardware assembly with software environment configuration. Unpack and assemble the platform following the manufacturer's documentation. Install the development framework — typically ROS or ROS 2 — and verify sensor connectivity. Calibrate all sensors using the manufacturer's tools and procedures. Set up the simulation environment (Gazebo, Isaac Sim, or equivalent) alongside the physical platform for parallel development. Establish version control for your experiment code and configuration. Document the initial calibration values and system state as your baseline for future reference. Plan network and computing infrastructure to handle the data rates your sensors will generate.
Ongoing Maintenance
Research robots need maintenance that preserves the precision required for valid experimental results. Regularly verify sensor calibration — drift in camera intrinsics or IMU biases can invalidate experiment data. Maintain clean workspace conditions to protect optical sensors. Document any hardware modifications or maintenance performed, as these can affect experimental reproducibility. Update software dependencies carefully, documenting versions used for each experiment. Joint and actuator wear in research robots that perform repetitive tasks should be monitored and factored into experimental design.
Software Updates & Long-Term Support
Research robot software updates require careful management to maintain experiment reproducibility. Document the exact software versions used for each experiment. Test updates in a separate environment before applying to your experiment platform. Contribute bug fixes and improvements back to the community when using open-source frameworks. Be aware that ROS and other framework updates may require code changes in your custom packages — budget time for integration testing after major framework updates.
Maximizing Longevity
Research robots often have longer productive lives than commercial products because they can be upgraded and repurposed. Extend your investment by maintaining clean mechanical and electrical systems, documenting all modifications for future lab members, and keeping spare parts for common wear items. When specific components become obsolete, community forums and lab networks can be valuable sources for replacements. Consider the platform's modularity when planning future research directions — a platform that can accept new sensors and actuators adapts to evolving research questions.
For VLAI Robotics-specific support resources and documentation, visit the VLAI Robotics page on ui44 or check the manufacturer's official website at VLAI Robotics's product page.
Frequently Asked Questions
What is the L1 Agile Mobile Manipulator?
The L1 Agile Mobile Manipulator is a Research robot made by VLAI Robotics. The L1 Agile Mobile Manipulator is VLAI Robotics' wheeled dual-arm embodied-AI platform for research, education, manufacturing, logistics, inspection, service, and other structured mobile-manipulation workflows. VLAI's official site lists the L1 as a mobile robot with X1 high-dexterity humanoid dual arms, 8 degrees of freedom per arm, 16 degrees of freedom total, 6 kg per-arm payload, compliant force control, gravity compensation, ROS 2/Isaac Sim/MuJoCo/LeRobot compatibility, VR teleoperation, and data-collection tooling. HouseBots coverage reports an adjustable dual-arm working range of 70-160 cm, a wheeled base, open developer interfaces, and a 28,800 CNY starting price. It is notable as an unusually low-cost wheeled mobile manipulator, but public battery, sensor, navigation, and international availability details remain limited. It features 1 sensor types, 2 connectivity protocols, and 10 distinct capabilities.
How much does the L1 Agile Mobile Manipulator cost?
The L1 Agile Mobile Manipulator is listed at $28,800 (HouseBots launch coverage reports an approximately $4,188 / 28,800 CNY starting price; VLAI's current official site confirms the L1 but does not publish public pricing.). This places it in the enterprise tier for research robots. Prices may vary by region and retailer.
Is the L1 Agile Mobile Manipulator available to buy?
Yes, the L1 Agile Mobile Manipulator is in active commercial production and currently sold by VLAI Robotics. Check VLAI Robotics's official website or authorized retailers for the latest stock and ordering options.
What sensors does the L1 Agile Mobile Manipulator have?
The L1 Agile Mobile Manipulator is equipped with 1 sensor type: Not officially disclosed. These sensors work together through sensor fusion to provide comprehensive environmental awareness for autonomous operation. See the sensor analysis section for details.
How long does the L1 Agile Mobile Manipulator battery last?
The L1 Agile Mobile Manipulator has a rated battery life of Rechargeable battery; runtime not officially disclosed. Actual battery performance may vary based on usage intensity, ambient temperature, and specific tasks being performed. Heavy workloads like continuous navigation and sensor processing will consume battery faster than idle or standby modes.
What AI does the L1 Agile Mobile Manipulator use?
The L1 Agile Mobile Manipulator is powered by Embodied-AI development platform with ROS 2, Isaac Sim, MuJoCo, LeRobot, VR teleoperation, and data-collection compatibility; VLAI has not disclosed onboard compute or model details.. This AI platform handles the robot's perception processing, decision-making, and autonomous behavior. The sophistication of the AI directly impacts how well the robot handles unexpected situations, learns from its environment, and improves over time.
How does the L1 Agile Mobile Manipulator compare to the Asimov DIY Kit (Here Be Dragons Edition)?
The L1 Agile Mobile Manipulator and Asimov DIY Kit (Here Be Dragons Edition) are both research robots, but they differ in key specifications, pricing, and manufacturer approach. Use the side-by-side comparison tool to see detailed differences in specs, sensors, and capabilities. You can also browse other similar robots below.
Does the L1 Agile Mobile Manipulator work with smart home systems?
Yes, the L1 Agile Mobile Manipulator is compatible with: ROS 2, Isaac Sim, MuJoCo, LeRobot, VLAI teleoperation and data-collection tooling. This ecosystem integration allows the robot to work alongside your existing smart home devices and platforms rather than operating as an isolated system.
How current is the L1 Agile Mobile Manipulator data on ui44?
The L1 Agile Mobile Manipulator specifications on ui44 were last verified on 2026-05-22. All data is sourced from official VLAI Robotics documentation, spec sheets, and press releases. If you notice any outdated information, please let us know.
Data Integrity
All L1 Agile Mobile Manipulator data on ui44 is verified against official VLAI Robotics sources, including spec sheets, product pages, and press releases. Last verified: 2026-05-22. Official source: VLAI Robotics product page. If you find outdated or incorrect information, please let us know — accuracy is our top priority.
Explore More on ui44
Manufacturer
Category
Explore more research robots
See how the L1 Agile Mobile Manipulator stacks up — compare specs, browse the research category, or search the full database.