C-MOR
Computing Mobile Operating Robot.
The C-MOR project, undertaken by Travis Burke and Ward Spangenberg, represents a comprehensive effort to develop a versatile robotic platform capable of integrating advanced sensing, articulation, and interaction capabilities. Combining technologies such as LIDAR, ultrasonic sensors, and ESP32 microcontrollers, the project aimed to explore the boundaries of robotic design and functionality. The team envisioned a platform with “follow me” capabilities, voice activation, and facial recognition, alongside sophisticated mobility and articulation. The ambitious scope of the project highlights the interdisciplinary nature of modern robotics, blending mechanical design, electrical engineering, and software development.
Deliverables included the successful implementation of key systems such as LIDAR for data collection and ultrasonic sensors to enhance terrain awareness and obstacle avoidance. Articulation of the robot’s arms and head progressed through multiple design iterations, with the neck assembly reaching its fourth prototype to support dynamic movement and weight. While some limitations were encountered, such as torque challenges in the drive tracks and underpowered arm servos, the solutions developed provided a foundation for future refinement. These iterative advancements demonstrate the practical application of engineering principles and the importance of adaptability in design.
Although certain features, including facial recognition and centralized control, were not fully integrated within the project timeline, significant groundwork was laid. Facial recognition software was developed and is operational in a virtual environment, ready for integration into the physical system. Similarly, voice activation functionality was partially realized, showcasing the modular and scalable nature of the design approach. The decision to prioritize foundational elements such as articulation and sensor feedback reflects a thoughtful allocation of time and resources, with a focus on building a robust platform for subsequent development.
This project served as an invaluable learning experience, highlighting the critical importance of balancing ambitious goals with pragmatic execution. Lessons included the necessity of prioritizing deliverables, conducting thorough calculations for component specifications, and leveraging top-down design methodologies to ensure cohesion across mechanical and electronic subsystems. Through rigorous testing and iteration, we gained hands-on expertise in managing complex projects, illustrating the practical application of theoretical knowledge. The C-MOR project was an amazing exploration of robotics engineering, allowing us to demonstrate both innovation and the iterative nature of problem-solving in multidisciplinary projects.