Leopard Imaging and Lumotive Released Sirius Max
The new 3D LiDAR platform aims to simplify AI perception integration for modern robotics systems.
Updated on Sept. 28, 2026 in Robotics
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Leopard Imaging and Lumotive have launched Sirius Max, a solid-state 3D LiDAR platform designed for AI perception. The system integrates RGB imaging and iToF depth sensing into a single unit to reduce complexity.
Why it matters
The platform was created to streamline development for robotics and AI applications by combining multiple sensing technologies. By integrating these components, engineers can reduce system architecture hurdles for advanced perception.
The system utilizes the onsemi AF0130 depth sensor alongside Lumotive TX10 programmable beam-steering transmitters. It delivers a 1MP depth resolution and supports GMSL2 connectivity via a single coaxial cable.
The players
Leopard Imaging
This company is a provider of intelligent embedded vision solutions and camera modules headquartered in Fremont, California.
Lumotive
This firm specializes in software-defined LiDAR and beam-steering technology for various industrial and robotics applications.
The details
Sirius Max uses directional beam steering to dynamically control illumination and depth scanning while processing visual data. By housing RGB imaging and iToF sensing within one module, the platform minimizes the physical and technical footprint required for robotics deployment.
Timeline
The Sirius Max platform was announced on September 24, 2026.
The Tech Race
The platform represents a shift away from discrete, disparate sensor modules toward unified perception hubs. This aligns with the broader push to replace complex, multi-cable architectures with streamlined systems that leverage the GMSL2 connectivity standard.
Developers and robotics engineers can expect reduced design complexity and faster time-to-market for AI-powered machines. The use of single coaxial cables for connectivity simplifies the physical assembly process for hardware teams.
The takeaway
This platform indicates a move toward hardware-software convergence in the robotics sector. Designers prioritizing efficiency should watch how integrated perception hubs like this compete with legacy, modular sensing setups.
Further reading
Learn more about the latest innovations in Robotics.
Source note: This article includes information reported by Embedded Computing Design.
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