Robotic Perception System Development

Accelerate deployment of autonomous systems from months to weeks with our modular, pre-validated perception libraries for 6D pose estimation and anomaly detection. We focus on integration, not foundational research, to get your robots operational faster.

Achieve >99.5% system availability with robust sensor fusion and failover logic designed for 24/7 industrial environments. Our stacks are engineered for resilience against lighting changes, sensor occlusion, and environmental dust.

Deploy high-accuracy computer vision for automated quality inspection, catching microscopic defects and assembly errors in real-time. This directly reduces scrap rates, warranty claims, and manual inspection labor.

Integrate real-time human-robot collision prediction and safety-rated monitoring systems that comply with ISO 10218 and ISO/TS 15066. Protect your workforce and mitigate liability with certified AI safety layers.

Enable seamless coordination of multiple robots through a unified perception framework. Share learned models and scene understanding across your fleet, improving the performance of every unit with data from any unit.

Optimize for efficient edge inference, reducing reliance on expensive cloud compute and bandwidth. Our systems use model quantization, pruning, and hardware-aware optimization to maximize performance per watt.

Engineer 6D pose estimation and grasp planning systems that enable robots to identify, locate, and manipulate randomly oriented parts from bins with sub-millimeter accuracy, eliminating manual sorting and feeding bottlenecks.

Leverage domain-specific models trained on proprietary component libraries for rapid deployment.

Deploy real-time anomaly detection and defect classification vision systems that perform 100% inline inspection at production line speeds. Our systems fuse multi-sensor data to detect surface flaws, dimensional variances, and assembly errors with higher consistency than human operators.

Integrates with MES/SCADA for automated rejection and process feedback.

Implement AI-driven safety systems featuring real-time human presence detection, intent prediction, and dynamic speed/separation monitoring. Ensures compliance with ISO/TS 15066 for collaborative workspaces, allowing robots and humans to work side-by-side without physical barriers.

Includes predictive stop-distance algorithms for proactive collision avoidance.

Develop robust perception stacks for AMRs that fuse LiDAR, vision, and inertial data for dynamic obstacle avoidance, semantic mapping, and precise docking in congested warehouse and factory environments. Enables reliable 24/7 material movement without fixed guidepaths.

Features multi-agent fleet coordination for optimal traffic flow.

Engineer perception systems for drones and crawler robots that autonomously inspect critical infrastructure—from pipelines and cell towers to wind turbine blades. Our computer vision pipelines detect corrosion, cracks, and structural defects, generating actionable maintenance reports.

Designed for operation in GPS-denied and challenging environments.

Build vision-guided robotic systems for depalletizing mixed-SKU loads and building stable, optimized pallets for shipment. Our perception stack handles variable packaging, labels, and stacking patterns, dramatically reducing manual labor in shipping and receiving docks.

Integrates with WMS for real-time order and inventory validation.