Multi-Sensor Perception Integration for Autonomous Robotic Systems

MicroVision, Inc. and FieldAI are expanding their collaboration to deploy multi-range perception technologies across government and industrial autonomous platforms. The integration utilizes lidar sensors and autonomous control software to facilitate spatial mapping, obstacle detection, and navigation in uncrewed aerial and ground systems. The cooperation addresses the operational challenge of maintaining precise situational awareness in demanding physical environments, which requires coupling scalable sensor hardware with specialized autonomy algorithms.

System Architecture and Responsibilities
The technical deployment merges MicroVision, Inc. sensing hardware with FieldAI software algorithms. MicroVision, Inc. supplies its IRIS long-range lidar sensors and MOVIA short-range sensors, which capture the physical geometry of the environment. FieldAI integrates this hardware into its robotic control systems, translating the resulting point-cloud data into actionable navigation and mapping commands.

A primary technical use case involves integrating the MOVIA Air Plus sensor onto the Robinson Unmanned Spirit drone platform. This configuration generates real-time, colorized 3D lidar mapping. The resulting spatial data is routed directly into the Android Team Awareness Kit (ATAK) to provide operators with immediate environmental topography. For industrial automation and logistics, the IRIS long-range sensors are mounted on autonomous ground vehicles to support obstacle detection at higher speeds and extended distances, increasing process stability and operational safety.

Deployment and Testing Phases
FieldAI engineers have completed initial testing of the perception technologies across both ground and aerial platforms. Following these successful baseline evaluations, FieldAI procured additional MOVIA sensors to expand testing across its federal and commercial robotics programs. The current phase focuses on validating the sensors' ability to maintain continuous mission execution and digital infrastructure integration during complex route navigation.

By allocating hardware development to MicroVision, Inc. and software integration to FieldAI, the companies aim to accelerate the deployment of autonomous systems in sectors requiring high-reliability mobile robotics.

Strategic Assessment
Regarding the technical parameters of the integration, Shehryar Khattak, Director of Technology at FieldAI, stated: "Following successful tests across uncrewed ground and aerial systems, we are expanding our evaluation efforts to identify opportunities for broader adoption of MicroVision's perception solutions across both our Federal and Industrial programs."

Glen DeVos, CEO of MicroVision, Inc., outlined the hardware's operational scope: "From long-range perception for autonomous ground vehicles to real-time 3D mapping and short-range obstacle detection, our portfolio provides the flexibility and performance required to support next-generation robotic systems."

Edited by Aishwarya Mambet, Induportals Editor, with AI assistance.

www.microvision.com