ugo Nova
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ugo Nova is a Japanese-made semi-humanoid from ugo in Tokyo, announced in September 2026. It has a white head with a face display, two 7-axis arms ending in two-finger hands, a rotating waist and a height-adjustable body, all on a four-wheel mecanum base that can move in any direction. In total it has 22 degrees of freedom. The lifter moves 350 mm and the arms reach 843 mm, and the two arms together can carry up to 10 kg in a defined work area. It stands 126 cm tall when folded and 162 cm when extended, weighs about 100 kg and runs about 6 hours on its LiFePO4 battery. An NVIDIA Jetson Thor computer drives its AI models, with a stereo camera in the head and an RGB camera in each hand. ugo built it for physical-AI development and factory work such as kitting, moving parts between stations and assembly steps like fitting parts and tightening screws, and it supports VR teleoperation so operators can collect training data for the robot's models. It connects through a 5 Gbps wired port, Wi-Fi 6 and USB ports. ugo plans mass production in 2027.
Quick Overview & Key Facts
ugo Nova is a humanoid robot made by ugo in Japan, launched in 2026 and built for kitting and part transfer between stations, assembly steps such as fitting and screw tightening, and and physical-AI research and data collection. Its estimated price is USD 100,000.
- Weight
- About 100 kg (220 lb)
- Mobility
- Wheeled (four-wheel mecanum base with a 350 mm height lifter)
- Top speed
- 0.4–3.6 km/h (0.1–1.0 m/s)
- Payload capacity
- Up to 10 kg with both arms in a defined work area
- Battery runtime
- About 6 hours
- Charging time
- About 2.5 hours (AC 100 V charger, up to 360 W)
- Sensors
- Head stereo camera and one RGB camera in each hand; tactile hands
What Can ugo Nova Do?
Core operational tasks and activities demonstrated or performed by ugo Nova.
Real-World Applications of ugo Nova
Industries, working environments, and deployment suitability for ugo Nova.
ugo Nova Capabilities
Inherent physical, perceptual, and cognitive abilities built into ugo Nova.
Image Gallery
Below images are from ugo's official sources






Robot Specifications
Values without a Confirmed badge are compiled from public sources and may not be manufacturer-verified.
Not yet published by ugo: warranty terms, safety certifications, EMC compliance, IP rating, noise level, expected lifespan, maintenance schedule, firmware version and 5 more.
Robot Timeline
Key milestones in this robot's development and rollout
ugo announces ugo Nova, a domestic semi-humanoid with two 7-axis arms and a four-wheel mecanum base, with mass production planned for 2027.
Source: ugo ↗
ugo Nova vs RealBot-S2, DEUX, Kinsi 01 and YMBot D2
ugo Nova overlaps with these alternatives on Industrial automation and Manufacturing. ugo Nova leads this group on weight but trails on payload and runtime.
Industries and capabilities are tags, not scores: a tick means the robot is listed for it. Green marks the best figure in a row (highest max speed, payload and runtime; lowest weight). Ranges are not ranked.
| Spec | ugo Novaugo | RealBot-S2RealMan Robotics | DEUXXYZ | Kinsi 01Kinisi Robotics | YMBot D2Jiangsu Yunmu Intelligent Manufacturing Technology Co., Ltd. |
|---|---|---|---|---|---|
| Industries | |||||
| Industrial automation | Yes | Yes | No | Yes | Yes |
| Manufacturing | Yes | No | No | Yes | Yes |
| Research and development | Yes | Yes | Yes | Yes | Yes |
| Capabilities | |||||
| Adjustable height | Yes | Yes | Yes | No | Yes |
| Omnidirectional mobility | Yes | Yes | Yes | No | No |
| Remote control (teleoperation) | Yes | Yes | Yes | No | Yes |
| Two-arm manipulation | Yes | Yes | Yes | No | Yes |
| Max Speed | 0.11–1 m/s | 0.1–1.5 m/s | — | 4 m/s | 1.5 m/s |
| Payload | 10 kg | 5 kg | 11 kg | — | 6 kg |
| Runtime | 6 h | 6 h | — | 8 h | — |
| Weight | 100 kg | 125 kg | — | 100 kg | 150 kg |
| Released | 2026 | 2026 | 2026 | 2026 | — |
Notes such as conditions or alternate figures are left out and values are shown in common units; open each page for the full specs. Browse all Humanoid Robots
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Frequently Asked Questions
Get answers to common questions about this robot
Q1. What is ugo Nova, and what problem is it designed to solve?
ugo Nova is a Japanese semi-humanoid from ugo in Tokyo. It has two arms, a head and a rotating waist on a wheeled base, and is meant for factory work and for training robot AI.
Q2. What are the main capabilities and key features of ugo Nova?
It moves in any direction on mecanum wheels, raises and lowers its body with a lifter, handles parts with two arms and hands, and can be driven by a person in VR to record demonstrations that its AI models learn from.
Q3. Who is ugo Nova built for, and which industries can benefit from it?
It is built for factories, research teams and companies developing physical-AI models that need a capable two-armed robot to test tasks.
Q4. Is ugo Nova a commercial product or still a research prototype?
It is a product aimed at customers who evaluate and develop with it now; ugo has said it plans mass production next year.
Q5. Is ugo Nova currently available for purchase, and when is it expected to ship?
ugo sells it to business customers and quotes prices on request, so availability and delivery are agreed with the company.
Q6. How does ugo Nova actually work in real-world environments?
Its onboard computer runs AI models that coordinate the head, arms, waist and wheels together, using cameras in the head and in each hand to see what it is doing.
Q7. When was ugo Nova announced or officially launched?
ugo announced it in September 2026.
Q8. How is ugo Nova different from other robots in the same category?
It combines a full two-armed upper body with a head and waist that can also be recorded and learned from, while most wheeled service robots only move their arms.
Q9. Does ugo Nova require additional development or customization after purchase?
Companies normally add their own tasks, data and AI models on top of the robot, which ugo supports with its Physical AI Fabric tools.
Q10. What is the future roadmap or planned upgrades for ugo Nova?
ugo plans mass production in the following year and continues to extend its platform for training and running robot foundation models.
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