LUS2 by Lumos Robotics vs Q5 by Robot Era

LUS2 or Q5? Compare specs, navigation, battery, sensors, and AI capabilities in real-world performance.

LUS2
Lumos Robotics

LUS2

⭐ Rating: 4.0/5
$99,000 (based on available listings)
vs
Q5
Robot Era

Q5

⭐ Rating: 4.0/5
$100,000 - $150,000 (Estimated)

The LUS2 by Lumos Robotics represents a next-generation humanoid robot focused on agile, human-like mobility and advanced sensor integration. Positioned for dynamic environments such as industrial automation, healthcare assistance, and search-and-rescue, its key differentiators include rapid movement capability, a lightweight design at 57 kg, and a compact frame optimized for indoor navigation. Its software stack supports autonomous operation with learned behaviors and large language model integration, making it a versatile research and development platform.

Robot Era’s Q5 humanoid robot targets service-oriented roles including elder care, retail, hospitality, and logistics, emphasizing ultra-humanlike interaction and dexterity. It distinguishes itself with a larger build at 70 kg, extended battery life, and a focus on multi-modal sensor fusion including stereo and RGB cameras. The Q5 features highly dexterous robotic arms with detailed teleoperation capabilities, supporting real-time learning and emotional voice interaction tailored to dynamic service scenarios.

Specifications Comparison

SpecificationLUS2Q5
Price$99,000 (based on available listings)$100,000 - $150,000 (Estimated)
Weight57 kg70 kg
Max Speed7.2 km/h (2m/s)1.5 m/s
Runtime3 hours on full charge>4 hours
Battery Pack10000mAh50000mAh
Dimensions160 x 50 x 30 (cm)165 x 50 x 52
SensorsIntel RealSense D435i, Finger and palm tactile sensors, IMU, ultrasonic sensors, 360° LiDAR, gyroscope, force sensors, temperature sensorsRGB cameras, stereo cameras, LiDAR, ultrasonic sensors, IMU, gyroscope, force sensors, temperature sensors
Charging Time2-3 hours4 hours (Estimated)
Navigation SystemIndoor SLAM, visual SLAM, LiDAR mappingIndoor SLAM, visual SLAM, LiDAR mapping
Control MethodAutonomous, learned behaviors, teleoperationTeleoperation, autonomous, learned behaviors

Showing 10 of 50 specifications

Detailed Analysis

Q5: +2
Q5

Design & Build Quality

Winner 🏆 Q5

LUS2 features a slim, lightweight humanoid form measuring 160 x 50 x 30 cm and weighing 57 kg, designed for agility and rapid physical maneuvers. In contrast, Q5 is slightly taller and heavier at 165 x 50 x 52 cm and 70 kg, reflecting its emphasis on service robustness and dexterous task execution. Both robots showcase collaborative design elements such as force-limiting joints and compliant interaction modes, but Q5’s broader physical footprint supports its enhanced manipulative capabilities.

LUS2: +2
LUS2

Mobility & Navigation

Winner 🏆 LUS2

LUS2 achieves a maximum speed of 7.2 km/h (2 m/s), showcasing superior agility and rapid motion control ideal for dynamic and unpredictable environments. The Q5 moves at 1.5 m/s, prioritizing safe and precise navigation within confined indoor spaces. Both utilize indoor SLAM, visual SLAM, and LiDAR mapping for navigation, but LUS2’s demonstrated reflexive balance and quick ground-to-stand transitions enable faster responses in complex terrain.

Trade-off: +1 each
Q5

Sensors & Perception

Trade-off

LUS2 is equipped with Intel RealSense D435i depth cameras, tactile sensors on fingers and palms, IMU, ultrasonic and 360° LiDAR sensors, along with gyroscope, force, and temperature sensors, supporting detailed proprioception and environmental mapping. Q5 incorporates RGB and stereo cameras combined with LiDAR and ultrasonic sensors, IMU, gyroscope, force, and temperature sensors. Its sensor suite supports full-body teleoperation and emotional AI interaction, emphasizing rich visual and tactile perception for service tasks.

Q5: +2
Q5

AI Capabilities

Winner 🏆 Q5

LUS2 integrates proprietary OS and ROS2 compatibility with APIs for large language model (LLM) interaction, enabling autonomous control and learned behavioral adaptation with a focus on real-time agility and neural motion planning. Q5 supports ROS2 and proprietary OS environments as well, featuring embodied AI (ERA-42) for full-body teleoperation, real-time learning, and multilingual voice interaction in over 37 languages. Q5’s AI emphasizes human-robot collaboration in social and service contexts.

Trade-off: +1 each
Q5

Battery & Power Efficiency

Trade-off

LUS2’s battery offers an approximate lifespan of three years, aligning with its intensive mobility and sensor systems optimized for extended autonomous use. Q5 features a longer battery life estimated at four years, reflecting its service-oriented design with lower mobility speed but sustained operation in continuous service environments. Both robots embed safety and energy efficiency measures suited to their operational demands.

Trade-off: +1 each
Q5

Use-Case Suitability

Trade-off

LUS2 is tailored for industrial automation, healthcare assistance, search-and-rescue, and research where rapid, precise movement and robust navigation are critical. Q5 is designed for elder care, child interaction, hospitality, retail service, logistics, and research labs, emphasizing dexterity, interaction, and safe operation in human-populated spaces. The choice between these platforms depends on application priorities such as agility versus service adaptability.

Trade-off: +1 each
Q5

Software Ecosystem

Trade-off

Both robots support ROS2 and proprietary operating systems along with programming in Python and C++, providing flexible development environments. LUS2’s software is notable for its APIs facilitating integration with large language models, supporting autonomous cognitive functions. Q5’s software enables immersive teleoperation via VR devices and data gloves, with a closed-loop data collection and model iteration system enhancing its learning and adaptability.

Trade-off: +1 each
Q5

Safety Features

Trade-off

LUS2 and Q5 both incorporate force limiting, collision detection, emergency stop functions, and collaborative mode operation, ensuring compliance with safety standards for human-robot interaction. These shared features support safe functioning in dynamic, populated environments, with design considerations prioritizing user and bystander protection during task execution.

Analysis Score Summary

Total Score

7

LUS2

VS

Based on Detailed Analysis

Total Score

9

Q5

📊 Win: 2 points | Trade-off: 1 point each

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Disclaimer

All content, comparisons, and verdicts on this website are based on our research, testing, and opinion. While we strive for accuracy, we do not guarantee the completeness, reliability, or suitability of any information. Performance, specifications, and results may vary depending on usage and conditions. This website and its authors are not responsible for any decisions, actions, or outcomes based on the information provided. Always verify product details with the manufacturer before making purchase or operational decisions.