Dexmate Vega
humanoid

Dexmate Vega — Specs, Price & Where to Buy (2026)

The Dexmate Vega is a humanoid robot from US-based Dexmate. Priced at $80,000, it features 36 degrees of freedom (12 in hands), a 20-hour battery life, and a max speed of 4 km/h. It stands 171 cm tall and weighs 135 kg. Designed for industrial automation and R&D, it emphasizes precise dexterity with 10 fingers and brushless motor/harmonic gear technology. Availability: in development; contact Dexmate for inquiry.

💰Price
$80,000
🌍Origin
US
📏Height
171 cm
⚖️Weight
135 kg
🦾Degrees of freedom
36
🏃Max speed
4 km/h
📦Payload
15 kg
🔋Battery
20 hours
🛒Availability
Available

What is the Dexmate Vega?

The Dexmate Vega is a full-size humanoid robot developed by Dexmate, a US-based robotics startup with team members from MIT, CMU, UCSD, Nvidia, TRI, and other top institutions. It is designed for precise dexterity in industrial automation and R&D settings, featuring 36 total DOF including 12 in its two 5-fingered hands. Standing 171 cm tall and weighing 135 kg, it moves at up to 4 km/h on an omnidirectional wheeled base, not bipedal walking. Its compute runs on Intel x86 and Nvidia Jetson, with Linux OS and LLM integration for intelligent task handling. Brushless motors with harmonic gear reduction drive the joints, and it is rated safe for human collaboration. The robot targets sorting, assembly, and manipulation tasks requiring fine motor control.

Specifications

Here are the full technical specifications.

SpecValue
Height171 cm
Weight135 kg
Degrees of freedom36
Battery life20 hours
Max speed4 km/h
Payload15 kg
Price (new)$80,000
Price (used range)N/A (pre-commercial)

Price & Value

New MSRP: $80,000

Used range: N/A

At $80,000, the Dexmate Vega sits in the mid-range for full-size humanoids, undercutting the Unitree H1 ($90k) but above the Fourier GR-2 ($55k). Its cost reflects a focus on advanced dexterity (12-DOF hands, 10 fingers) and high-quality harmonic drive actuation, suitable for precision tasks. Since the Vega is still in development, buyers are likely to purchase directly from the manufacturer on a project basis, with no secondary market yet. Depreciation remains unclear as no used units circulate, but enterprise support and software updates will be critical to long-term value. Comparing to research-oriented alternatives, the Vega offers a compelling balance of manipulation capability and runtime (20 hours) for labs and pilot production lines. All-in costs will depend on custom integration and tooling.

Who Is It For?

Best for: - Research labs exploring dexterous manipulation (12-DOF hands enable fine motor studies) - Industrial automation pilots requiring precise pick-and-place with 15 kg payload

Not for: - Heavy payload operations (15 kg max, not suited for moving heavy engine parts) - Outdoor or uneven terrain (wheeled base, no IP rating, not bipedal)

Alternatives & Comparison

The Dexmate Vega competes in the burgeoning humanoid market for precise manipulation, facing rivals at various price points and readiness levels.

ModelPriceAvailableKey Difference
Unitree H1$90,000yesBipedal, faster (18 km/h), but less dexterous hands
Fourier GR-2$55,000preorderLower cost, 7-DOF hands, less dexterity than Vega
Figure 02UndisclosednoAI-first design, not publicly available
Tesla OptimusUndisclosednoTesla ecosystem integration, not for external sale

Verdict: For labs and factories needing high dexterity in a stable wheeled platform, the Vega is a strong front-runner, provided you can secure a pilot unit directly from Dexmate. Buyers prioritizing bipedal locomotion should choose the Unitree H1 despite its lower hand dexterity. Budget-constrained teams will find better value in the Fourier GR-2, though it compromises on finger DOF. Both Figure 02 and Tesla Optimus remain unavailable for purchase, making the Vega a tangible option for 2026.

Use Cases & Capabilities

Precision Assembly

The Vega’s 12-DOF hands and 15 kg payload make it ideal for assembling small components in electronics or automotive manufacturing. Its LLM integration allows it to follow complex sequences and adapt to variations, while the 20-hour battery life supports multi-shift operations. The wheeled base provides stability on factory floors, though the lack of bipedal locomotion limits mobility over stairs or rough terrain. Safety features enable close human-robot collaboration on assembly lines.

Laboratory Research

Research institutes studying dexterous manipulation benefit from the Vega’s fully articulated hands and open Linux-based system. It can be programmed for grasping experiments, tool use, and human-robot interaction studies without the complexity of bipedal balancing. High computing power (Intel x86 + Nvidia Jetson) supports real-time vision and AI processing, and the 20-hour runtime ensures full-day experiments with minimal downtime. Researchers can customize its LLM integration for novel task learning.

Quality Inspection

With precise motion control and the ability to wield inspection tools, the Vega excels in visual and tactile quality checks on production lines. Its 10 fingers can handle delicate parts and probes, and the robot can navigate between stations using its omnidirectional wheeled base. As it is safe for human proximity, it can share workspaces with operators, reducing the need for fencing. The 15 kg payload is adequate for holding measurement equipment, and the long battery life supports continuous scanning of batches.

Pharmaceutical Handling

In pharmaceutical labs, the Vega’s dexterous hands can manipulate vials, pipettes, and labware with contamination-free repeatability. Its 20-hour battery allows for extended sessions of sample preparation or sorting, while its LLM integration interprets high-level commands like ‘prepare 96-well plate.’ The robot’s aluminium structure is easy to clean, and its wheeled base navigates smooth lab floors safely. Though lacking a cleanroom certification, it can operate in controlled environments with appropriate protocols.

Electronics Manufacturing

The Vega is suited for handling small electronic components such as PCBs, connectors, and sensors, thanks to its fine finger control and brushless motor precision. It can work alongside human technicians on assembly lines, reducing errors in tasks like wire routing or screw fastening. Its compute platform can integrate with manufacturing execution systems via Ethernet and WiFi, and the 4 km/h speed covers typical workstation ranges efficiently. The lack of ingress protection means it should be kept in dry, clean production areas.

Academic Dexterity Research

Universities focusing on robotics and AI can use the Vega as a research platform for advanced grasping and in-hand manipulation. Its 12-DOF hands allow exploration of complex finger gaits and tool manipulation, while the Linux OS and LLM integration enable students to develop custom control architectures. The robot’s wheeled mobility simplifies navigation in indoor labs, and its safety rating makes it appropriate for supervised human-robot interaction studies. Compared to custom-built research hands, the Vega offers a turnkey solution with industrial-grade reliability.

History & Background

Dexmate emerged from a team with backgrounds at MIT, CMU, UCSD, Nvidia, TRI, OSU, UMich, and INSEAD, likely founded in 2023 or 2024 to pursue humanoid robotics. The Vega was first built in 2024, targeting industrial automation and R&D with a unique emphasis on dexterity over bipedal walking. Unlike many humanoids, it adopts a wheeled omnidirectional base for stability and simplicity in factory settings. The robot’s initial reveal attracted interest from the research community, and by 2026 it remains in active development with pilot deployments possible. Dexmate continues to refine the platform, accepting inquiries via its website for custom use cases and partnerships. No generational variants have been announced, and the Vega remains the company’s sole product as it scales toward broader availability.

Buying Used — What to Check

Verify real-world battery runtime The 20-hour claim may be under ideal conditions; actual workload will affect duration.

Inspect harmonic gears and motors These are critical to dexterity and payload; wear could degrade precision.

Confirm software licensing LLM integration and OS may require active subscriptions or updates for ongoing use.

Frequently Asked Questions

The base list price is $80,000, as reported by multiple sources. Final pricing depends on configuration and integration; interested parties should contact Dexmate directly for a firm quote.
It performs precise manipulation tasks such as sorting, assembly, and quality inspection using its 12-DOF hands and 15 kg payload. The robot runs Linux with LLM integration for high-level task planning and adaptive behavior.
The Vega is currently in development and not openly for sale. Organizations can reach out to Dexmate via its website (dexmate.ai) to inquire about pilot programs, partnerships, or custom use cases.
The Vega ($80k, wheeled, 12-DOF hands) focuses on dexterity and stable manipulation, while the Unitree H1 ($90k, bipedal, 18 km/h) excels in dynamic locomotion. Choose the Vega if precision handling is the priority, the H1 if walking and speed are essential.
Height: 171 cm, weight: 135 kg, 36 degrees of freedom (12 in hands), max speed: 4 km/h, battery life: 20 hours, payload: 15 kg. It uses Intel x86 and Nvidia Jetson compute, Linux OS, and brushless motors with harmonic gear reduction.
The robot is manufactured by Dexmate, a US-based startup established around 2023–2024. The founding team includes alumni from MIT, CMU, UCSD, Nvidia, TRI, and other leading institutions.
The Vega offers up to 20 hours of runtime per charge, according to the manufacturer. Charging time and whether the battery is swappable have not been publicly detailed.
It is targeted at industrial automation (assembly, sorting) and R&D labs. Specific applications include electronics manufacturing, pharmaceutical handling, and academic research in dexterous manipulation.
No, the Vega uses an omnidirectional wheeled base for locomotion and does not have legs. It is not designed for stairs or uneven terrain.
The robot runs on Linux and includes LLM integration for advanced cognitive capabilities, allowing natural-language instruction interpretation and adaptive task execution.

Photos2

Dexmate Vega photo 1
Dexmate Vega photo 2

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