On-device embodied models
Fine-tuning and on-device deployment for world models, VLA models, and VLM models, letting robots close the loop of “perceive → understand → decide → act → learn”.
Connecting perception, interaction, navigation, and model deployment into one robotics development path that keeps iterating.
Fine-tuning and on-device deployment for world models, VLA models, and VLM models, letting robots close the loop of “perceive → understand → decide → act → learn”.
A full set of on-device capabilities for text, voice, vision, and motion commands, giving robots a better interaction experience.
Stable on-device execution of mapping, localization and navigation, obstacle avoidance, and planning and control algorithms, supporting the fundamentals of robot mobility.
On-device support for robot fleet scheduling and decision-making in multi-robot scenarios.
A development kit for fast validation in developer and education scenarios, including the mainboard, peripherals, and a complete robot.
Custom big-brain and small-brain compute controller development based on APLUX modules for vertical product needs across industries; AI toolchain and technical support; controller products for vertical industries.
Complete solutions for robotics scenario applications, with custom development services covering different scenarios.
Custom reference design services for complete robots, providing custom development and technical support for rapid prototype validation.
Matching the robotics solutions in the top menu, built around models, voice, navigation, and vision to support closed-loop real-world robot tasks.
From perception to action, supporting continuous on-device task understanding and response for robots.
Letting robots handle voice wake-up, understanding, and natural interaction locally.
Running scheduled patrols, equipment status collection, and anomaly reporting in parks, plants, and industry sites.
Serving recognition, inspection, and on-site task decisions with local visual perception.
Matching the robotics applications in the top menu, bringing on-device perception, interaction, navigation, and control into real sites.
Tell us about the robot form factor, sensor configuration, model tasks, and deployment environment, and we can confirm the full-machine solution, system, and model deployment path together.