Capabilities

LooperRobotics brings powerful spatial intelligence to any device, combining VIO localization with AI-generated depth to deliver accurate, real-time 3D awareness. With reliable tracking, rich depth perception, and automated performance tuning, it enables smarter navigation, better scene understanding, and more adaptive automation across applications.

Include:

  • VIO Localization
  • AI-Generated Depth
  • Automated Self-Calibration
  • Volumetric Analysis & Measuremens

 

Better Depth Integrity

Experience smoother gradients and sharper details. Our camera overcomes the limitations of conventional stereo cameras, delivering high-fidelity depth maps even in complex environments—ensuring the precise data your robot needs.

Unified Data Stream: Raw, Rectified, & Depth

Data alignment is critical for robust robotics. Our camera ensures pixel-perfect synchronization across all data types. As shown here, you get immediate, aligned access to the Raw view for custom processing, the Rectified view for computer vision, and the Neural Depth map for precise 3D understanding—all in one cohesive stream.

Seamless Navigation Across All Environments

From confined indoor corridors to expansive outdoor fields, our On-Board High-Precision V-SLAM delivers consistent reliability. These demonstrations highlight the system’s ability to maintain robust localization regardless of lighting conditions or spatial scale. With the V-SLAM engine running directly on the edge, it ensures your robot knows exactly where it is—anywhere, anytime.

Real-Time VIO Synchronization

Bridging the physical and digital worlds. This split-screen video showcases the seamless synchronization between the camera’s first-person view, the external hand motion, and the computed digital trajectory. It validates our camera’s ability to translate complex physical movements into precise mathematical poses instantly.

On-Board AI Perception

Transform your camera into an intelligent edge node. This video demonstrates real-time object detection using YOLO models running directly on the device. By performing AI inference on-board, it delivers immediate semantic understanding while significantly reducing bandwidth usage and offloading your host processor.

NOMAD, Humanoid Robot
RANGER, Quadruped Robot

Applications

Powered by the superior features of the Insight 9, our spatial camera seamlessly adapts to diverse robotic configurations—from quadrupeds to wheeled and humanoid systems. Whether it is for high-precision mapping or complex environment interaction, Insight 9 provides the robust perception needed across a vast range of industrial and commercial applications.

Robustness meets precision.

Deployed on a quadruped robot,the camera operates reliably under vibration and dynamic motion. Engineered for real-world robotics where conventional cameras fall short.

The Eye of Autonomous Service

Empowering the next generation of domestic and commercial robots. As seen on this robotic chassis, our camera serves as the central perception unit. It combines V-SLAM navigation with semantic understanding, offering a complete, plug-and-play solution for smart service automation.

High-Precision “Eye-in-Hand”

Give your robotic arm the ability to see and react. Mounted directly on the end-effector, our camera provides the high-resolution visual feedback required for precise manipulation tasks. Its ultra-low latency ensures seamless hand-eye coordination for assembly, picking, and placing.

Ultra-Compact “Eye-in-Hand” Solution

The ideal companion for lightweight cobots and research arms. Its ultra-compact footprint and minimal weight ensure almost zero compromise on the robot’s limited payload capacity or movement speed, making it perfect for space-constrained desktop environments.

Robust Navigation in GPS-Denied Environments

Unlock autonomous flight capabilities beyond satellite reach. This demonstration shows our camera integrated onto an aerial platform. Powered by on-board V-SLAM, it enables precise hovering and drift-free navigation in tunnels, indoors, or under bridges—environments where GPS signals fail but visual intelligence prevails.