VR-M2
The VR-M2 humanoid robot from VinRobotics is a mid-range bipedal platform designed for industrial logistics, factory automation, and research applications. Standing approximately 165 cm tall with human-like proportions, it features 32-40 degrees of freedom powered by electric servo actuators and harmonic gear drives for stable, natural gait including walking at up to 4 km/h, stair navigation, and uneven terrain handling. Equipped with dual 1080p RGB-depth cameras, IMU, gyroscopes, and force sensors, it enables visual SLAM navigation and real-time perception-planning-action integration. Dual arms with 5-finger hands offer 10-14 DOF per hand for dexterous manipulation, carrying up to 3-10 kg per arm and deadlifting 40 kg total. Safe for human collaboration with collision detection and emergency stops, it supports semi-autonomous operation, multi-language voice interaction, fall recovery, and swappable batteries for 4-hour runtime. Built from aluminum and plastic composites, VR-M2 excels in harsh indoor environments, performing tasks like object handling, gesturing, and autonomous charging.
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VinRobotics Rockets 270% Growth into Humanoid AI Era
VinRobotics announces explosive 270% year-over-year expansion, propelled by its VR-M2 humanoid robot debut in the mid-range series, positioning the company as a frontrunner in Vietnam's robotics surge. This milestone, revealed amid AI4VN 2025 festivities, underscores VinRobotics' pivot from prototypes to scalable production, fueled by investments in AI-driven locomotion and global partnerships. The growth reflects surging demand for human-like assistants in factories and beyond, transforming operational efficiencies into tangible revenue leaps. Investors eye this as a signal of Vietnam's rising clout in the global humanoid market.[web:2][web:5][web:6]
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Frequently Asked Questions
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Q1. What is VR-M2, and what problem is it designed to solve?
VR-M2 is the first prototype in VinRobotics' mid-range humanoid robot series. According to the manufacturer, it addresses labor shortages in industrial tasks through automation.
Q2. What are the main capabilities and key features of VR-M2?
VR-M2 belongs to VinRobotics' mid-range humanoid series, incorporating AI vision and force control. The company states it supports tasks like surface finishing and mobile manipulation.
Q3. Who is VR-M2 built for, and which industries can benefit from it?
VR-M2 targets manufacturing and warehouse sectors. VinRobotics positions it for businesses seeking automation in assembly, inspection, and palletizing operations.
Q4. Is VR-M2 a commercial product or still a research prototype?
VR-M2 is designated as the first prototype of VinRobotics' mid-range humanoid robot series. As of 2026, it remains in the prototype stage per the company's product listings.
Q5. Is VR-M2 currently available for purchase, and when is it expected to ship?
As of 2026, VR-M2 is not listed for commercial purchase. VinRobotics has not announced specific shipping timelines beyond prototype development.
Q6. How does VR-M2 actually work in real-world environments?
VR-M2 integrates AI-driven computer vision and reinforcement learning for locomotion. According to VinRobotics, it enables stable movement and task execution in factory settings.
Q7. When was VR-M2 announced or officially launched?
VinRobotics lists VR-M2 as its mid-range humanoid prototype on its website. No specific announcement date is detailed, with references appearing in 2025 updates.
Q8. How is VR-M2 different from other robots in the same category?
VR-M2 is the initial mid-range model in VinRobotics' lineup, distinct from their high-end H1-H3 prototypes. It focuses on cost-effective industrial applications per the manufacturer.
Q9. Does VR-M2 require additional development or customization after purchase?
As a prototype, VR-M2 would likely need customization for specific deployments. VinRobotics offers technology transfer for industry-tailored robotics solutions.
Q10. What is the future roadmap or planned upgrades for VR-M2?
VinRobotics aims to advance its humanoid series toward human-level walking speeds using reinforcement learning. The company plans broader industrial integration from prototype stages.
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