Proposed Solutions for Robot Navigation and Interaction

Solution 1: Low-Cost Self-Balancing Robot Platform

A promising solution is to develop a low-cost self-balancing robot platform equipped with a variety of sensors, such as a depth camera and ultrasonic sensors, to observe its full environment. This robot would be capable of creating a dynamic map of its surroundings in real-time, allowing it to navigate effectively through crowded spaces like universities.

Key Features:

• Dynamic Mapping: The robot can autonomously map its environment without requiring any setup from users, making it user-friendly.
• Human Interaction: It can interact with people by providing directions and information through a built-in display or voice output.
• Cost-Effective Design: Utilizing affordable components like robotics computers (Raspberry Pi, Jetson) and basic sensors, this solution remains accessible for educational institutions and small businesses.

This approach leverages existing technologies in self-balancing robotics, which have been successfully implemented in various projects.

Solution 2: Mobile Application for Navigation

Another solution is to create a mobile application that utilizes GPS and a known map for navigation. This app would allow users to input their destination and receive step-by-step directions, enhancing their ability to navigate large campuses.

Key Features:

• GPS Integration: Users can easily find their way using real-time GPS data.
• Voice Commands: The app can interact with users through voice commands, making it convenient for hands-free operation.
• Information Access: Users can receive updates about events or campus news directly through the app.

However, this solution has limitations, as it cannot map the environment dynamically or perform physical tasks, which restricts its functionality in certain scenarios.

Solution 3: Modular Robot System

A third solution involves developing a modular robot system that can be customized based on specific tasks or environments. This system would consist of interchangeable modules, such as navigation, information display, and interaction capabilities.

Key Features:

• Customizability: Users can swap out modules depending on their needs, allowing for a versatile robot that can adapt to various tasks.
• Collaborative Functionality: Multiple robots can work together in a shared space, communicating and coordinating with each other to enhance efficiency.
• Scalability: As new technologies emerge, additional modules can be developed and integrated into the existing system, ensuring longevity and relevance.

This modular approach allows for a tailored solution that can evolve with user needs and technological advancements.

Existing Patents

1. Two-Wheeled Self-Balancing Robot: This patent describes a two-wheeled self-balancing robot that addresses technical challenges in maintaining stability while navigating. It emphasizes the importance of sensor integration for effective movement and interaction. https://patents.justia.com/patent/11027416

2. Robotic Navigation System: A patent that outlines a robotic navigation system capable of mapping environments and interacting with users. This system utilizes advanced algorithms to enhance navigation accuracy and user engagement. Navigation with AR: https://patents.google.com/patent/WO2020034165A1/en

3. Specific Robotic Platforms: This patent focuses on a modular robotic platform that allows for the attachment of various functional modules, enabling the robot to perform a range of tasks based on user requirements. Specific platform for the visually impaired: https://patents.justia.com/patent/20230050825