Being a master's student in robotics has been challenging, with demanding deadlines and tough assignments causing stress and exhaustion.
The student shares their struggles in a four-part series, offering insights into the tasks faced as a robotics student.
The focus is on a case study involving automating food delivery in a restaurant using Stretch robots, revealing the shortcomings of the previous robotic system.
Issues with the previous system included inefficiencies with verbal confirmation, A* path planning, and task scheduling, prompting the student to propose a comprehensive solution.
The student's approach involved implementing changes like using the tablet for table notifications, adopting SLAM for adapting to dynamic environments, and improving sensor technology for better object detection.
Hardware enhancements, such as better grippers and counterbalancing techniques, along with a shift to priority-based scheduling, were suggested to enhance the robot's performance.
The student also implemented a socially-aware local planner to enable the robot to move more naturally in the restaurant environment, improving customer interactions.
Through this experience, the student learned the importance of designing robots that not only function efficiently but also interact seamlessly and intuitively in real-world scenarios.
The next part of the series will delve into simulating a self-driving car, promising more intense challenges and learnings in the field of robotics.