Combining Data for Floor Plans

1. Combining Data for Floor Plans Exploring methods for robotic environment perception and mapping.

2. This presentation explores innovative methods for capturing data to construct accurate floor plans using robotic technology. We will look into various types of sensors, data collection techniques, and the role of active illumination in enhancing data quality. Introduction

3. Data Capture 01

4. The primary sensors involved in this method include imaging sensors for visual data and movement sensors for tracking navigation. Imaging sensors capture the environment's visual aspects, while movement sensors provide critical data on the robot's position and movement, creating a comprehensive data set for floor plan construction. Types of sensors used

5. Data collection occurs through continuous monitoring as the robot moves within the environment. This involves the real-time gathering of images and movement data, allowing the robot to perceive and construct a model of the environment. The integration of data from different sensor types enhances the accuracy and detail of the captured model. Data collection methods

6. Active illumination significantly enhances the quality of data captured by imaging sensors. By providing controlled lighting, it improves visibility and reduces shadows in the captured images. This allows for better feature recognition and accurate environmental modeling. Additionally, active illumination helps in capturing consistent data under varying lighting conditions, ensuring that the model built from such data is reliable and detailed. Role of active illumination

7. Model Construction 02

8. Once data is collected, it undergoes various processing techniques to create a coherent model of the environment. This includes filtering noise from sensor data, aligning images, and integrating movement data to accurately map the space. Advanced algorithms are employed to analyze the data, reconstructing a detailed three-dimensional model of the environment that reflects real-world dimensions and features. Data processing techniques

9. The constructed model of the environment needs to be stored efficiently for future access and use. Typically, this model is stored in a digital format within the robot's memory or on a cloud-based system. This allows for quick retrieval and use in different applications, such as navigation, obstacle avoidance, and more detailed analyses of the environment. The storage system must also allow for easy updates as the robot collects more data. Storing the environment model

10. For practical applications, the stored model can be transmitted to smartphone applications, allowing users to visualize the captured data. The transmission process involves sending data using wireless protocols, which enables real-time updates and interaction with the model. Users can manipulate the model on their smartphones for various purposes, such as planning, analysis, or more advanced robotics tasks like autonomous navigation. Transmitting to smartphone applications

11. In conclusion, the integration of various data collection techniques, sensor types, and active illumination plays a vital role in accurately constructing floor plans in robotic applications. The methods discussed showcase how technology can enhance user interactions with modeled environments, paving the way for future advancements in robotics and automation. Conclusions

12. Thank you! Do you have any questions?Find more info here: https://patents.justia.com/patent/12094145