Robot 3D Environment Modeling via Object Detection

The patent merges traditional robot modeling (kinematics, dynamics) with environmental modeling (object detection, 3D reconstruction) into a unified framework. The robot model and environment model are integrated to enable comprehensive simulation and control that accounts for both robot mechanics and environmental factors.

The patent introduces an environment model as an intermediary between the robot controller and the physical environment. This model acts as a mediator that processes sensory information about obstacles and terrain, translating it into constraints and parameters that affect robot planning and control.

The patent segments the complex task of environmental modeling into distinct components: object detection using sensors, classification of objects, construction of 3D environment models, and integration with robot models. This segmentation allows each component to be processed independently and efficiently.

The patent creates simplified virtual copies of the physical environment through 3D modeling and simulation. Instead of processing all raw sensory data in real-time, the system constructs representative models that capture essential environmental features, reducing computational burden while maintaining navigation accuracy.

The patent performs preliminary environment modeling and simulation before actual robot execution. By constructing 3D models and running simulations in advance, the system identifies potential issues and optimizes paths beforehand, reducing the need for complex real-time processing during actual operation.

The patent implements continuous environment monitoring and model updating, where the 3D environment model is continuously refined as new sensory information becomes available. This allows the system to maintain an accurate environmental representation without requiring complete re-processing, improving efficiency over time.