Ameca (Engineered Arts) vs Moya (DroidUp)

Ameca is best understood as an interaction-focused humanoid rather than a walking platform, so mobility is not its main advantage. Moya is explicitly optimized for stable social walking at 3 km/h, giving it a clear lead in locomotion and balance for moving through human environments. That makes Moya more suitable for deployments where continuous movement matters, while Ameca is better suited to stationary or limited-mobility interaction settings. For buyers prioritizing walking behavior, Moya is the stronger choice.

Ameca and Moya both list 2 kg per arm carrying capacity, but Moya has a higher deadlift capacity at 10 kg versus Ameca's 5 kg. Ameca offsets that with a larger 52-DOF configuration in public demos, which supports more expressive upper-body and hand motion. Moya's 40+ DOF includes head micro-expressions, suggesting a practical but less expansive manipulation setup. For high-expression manipulation and human-facing tasks, Ameca is stronger; for heavier lifting within similar arm payload limits, Moya is more capable.

Ameca is described as semi-autonomous, with emphasis on AI testing, public demos, and API-enabled interaction workflows. Moya is described as highly autonomous with teleoperation support, which indicates a broader operational model for real-world task execution. That difference matters for buyers comparing a research platform against a service robot architecture. For autonomy and deployment flexibility, Moya has the edge; for controlled AI experimentation, Ameca remains highly relevant.

Both robots share the same 2 kg per arm carrying capacity, so their arm payload envelope is effectively aligned for light-object handling. The important difference is in deadlift capacity, where Moya is rated at 10 kg and Ameca at 5 kg. That means Moya has more reserve strength for lifting tasks that go beyond simple arm carriage. Buyers needing greater load tolerance should favor Moya, while Ameca is sufficient for lighter demonstration and interaction workloads.

Ameca does not publicly disclose battery runtime, so endurance planning is limited by available published information. Moya lists a 3-5 year battery figure, which suggests a much stronger focus on long service life or battery system longevity. Because the specs are not directly comparable in the same units, Moya still appears easier to plan around for extended deployment. For runtime visibility and operational planning, Moya is the more practical option.

Ameca is best aligned with human-robot interaction studies, public demonstrations, and AI testing, which makes it a specialized platform for social embodiment and research. Moya targets elder care companionship, educational tutoring, commercial customer service, and healthcare assistance, which gives it a wider general-purpose service profile. That positioning makes Moya more deployment-ready across service sectors, while Ameca remains more specialized for research and showcase use. For general-purpose service work, Moya is the better fit.

Ameca is not positioned as an industrial work robot, and its published use cases center on interaction studies and demonstrations. Moya is also not a manufacturing robot, but its higher deadlift capacity, teleoperation support, and autonomous operation make it more adaptable to structured service environments. Neither platform is ideal for heavy industrial manufacturing, but Moya is closer to practical task deployment than Ameca. For enterprise operations with physical tasks, Moya is the more suitable starting point.

Ameca exposes a broad interaction stack through Tritium OS, APIs, SDK support, and GPT-style integration support, which is useful for conversational and embodied AI experiments. Moya uses a proprietary OS, ROS2 compatibility, and Python APIs, which can be more practical for robotics integration and development workflows. Ameca's sensor emphasis is optimized around rich human interaction, while Moya's set includes stereo cameras, force sensing, and temperature data for service contexts. For software extensibility and field integration, Moya is more deployment-oriented, while Ameca is more specialized for interaction research.

Ameca includes an emergency-stop button, power-disconnect interlocks, and software collision-avoidance thresholds, which are appropriate for supervised human-facing demos. Moya adds force limiting, collision detection, emergency stop, and collaborative mode, which better support close-proximity operation around people. Both are designed with safety in mind, but Moya's collaborative operation framing is more directly aligned with everyday mixed human-robot environments. For repeated operation around people, Moya has the more deployment-ready safety profile.