Requirements

A Room Layout Optimization Robot (RLOR) should possess a combination of hardware and software capabilities to effectively analyze and optimize room layouts. Here are some key requirements:

Hardware Requirements:

Mobility: The robot should be able to navigate autonomously within a room, using sensors like lidar or stereo cameras to map its surroundings and avoid obstacles.

Sensing Capabilities: The robot should be equipped with a variety of sensors to gather information about the room's environment, including:

• 3D Mapping Sensors: To create a detailed 3D model of the room, including furniture placement, dimensions, and architectural features.
• Object Recognition Sensors: To identify and classify objects in the room, such as furniture, appliances, and décor items.
• Human Presence Sensors: To detect and avoid people in the room, ensuring safe operation.

Computational Power: The robot should have sufficient processing power to handle complex AI algorithms for layout optimization and real-time navigation.

Software Requirements:

Room Layout Analysis Algorithms: The robot should be able to analyze the current layout of the room, considering factors like space utilization, functionality, and aesthetic appeal.

Layout Optimization Algorithms: The robot should be able to generate multiple optimized layout options based on the analysis, taking into account user preferences, furniture dimensions, and room constraints.

Human-Robot Interaction (HRI) Capabilities: The robot should be able to communicate with users to gather their preferences, present layout options, and explain the rationale behind its suggestions.

Visualization Capabilities: The robot should be able to display 3D visualizations of the current and optimized layouts, allowing users to easily understand and compare options.

Additional Considerations:

Safety: The robot should be designed with safety in mind, incorporating features to avoid collisions, protect objects, and ensure user safety.

Adaptability: The robot should be able to adapt to different room sizes, shapes, and styles, considering various architectural features and furniture arrangements.

User Friendliness: The robot's interface and interaction should be user-friendly, allowing users to easily input their preferences and understand the layout optimization process.

Needed key skills

• Adaptability
• Artificial Intelligence (AI)
• Artistic aptitude
• Design aptitude
• Modeling