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Latest

MCP Data Annotation for Robot Agents

MCP Data Annotation for Robot Agents

MCP robotics data is a toolkit for robotic agents that standardizes the transfer of environmental context, tool status, and robot actions. Unlike classical video or sensor labeling, MCP annotation connects the robot's physical perception with its textual/logical reasoning, allowing multimodal models to safely call external tools and
Tatiana Verbitskaya Aug 5, 2026
Validating Simulated Sensor Data Against Real-World Annotations for Autonomous Driving

Validating Simulated Sensor Data Against Real-World Annotations for Autonomous Driving

Inna Nomerovska Aug 3, 2026
V2X Data Annotation: Labeling Vehicle-to-Everything Communication for Cooperative Perception

V2X Data Annotation: Labeling Vehicle-to-Everything Communication for Cooperative Perception

Tatiana Verbitskaya Jul 31, 2026
3D Occupancy Grid Annotation for Autonomous AI

3D Occupancy Grid Annotation for Autonomous AI

Inna Nomerovska Jul 24, 2026
Cross-Sensor Validation Annotation: How to Build Ground Truth Across Camera, LiDAR, and Radar

Cross-Sensor Validation Annotation: How to Build Ground Truth Across Camera, LiDAR, and Radar

Tatiana Verbitskaya Jul 22, 2026
A Comparative Study of Manual and Automated Annotation in Automotive

A Comparative Study of Manual and Automated Annotation in Automotive

Inna Nomerovska Jul 20, 2026
Ultrasonic Data Annotation for Parking AI

Ultrasonic Data Annotation for Parking AI

Tatiana Verbitskaya Jul 17, 2026
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