The problem asset-management solves

Surveillance and security: The robot could be used to monitor and track people or objects in public spaces, such as airports or museums, improving safety and security.
Personal assistance: The robot could be programmed to follow and assist people with disabilities or mobility issues, helping them navigate public spaces or perform daily tasks.
Industrial automation: The robot could be used in manufacturing or warehouse settings to track and move objects or materials, improving efficiency and productivity.
Entertainment: The robot could be used in interactive exhibits or entertainment venues, providing a unique and engaging experience for visitors.

Challenges we ran into

Designing and building a fully functional robot from scratch is a complex and time-consuming process that requires a significant amount of technical expertise.
Integrating multiple technologies and systems, such as the Raspberry Pi computer, camera, and sensors, can be challenging, as each component has its own requirements and specifications.
Developing and training deep learning algorithms to recognize objects and people is a complex and iterative process that requires a lot of data and experimentation.
Navigating the robot through complex environments, such as mazes or crowded spaces, requires advanced algorithms and techniques, such as SLAM (Simultaneous Localization and Mapping).
Ensuring the robot's safety and reliability is crucial, as any malfunction or error could result in damage to the robot or its surroundings.
Balancing the robot's capabilities and limitations is important, as it must be able to perform tasks effectively without exceeding its capacity or causing harm.
Testing and validating the robot's performance in real-world scenarios can be difficult, as it requires access to appropriate environments and conditions.
Maintaining and updating the robot's software and hardware over time can be challenging, as technology and requirements evolve rapidly.