Workplace Wingman: Enhancing Indoor Autonomy for Efficient Workplace Operations
Komal Potdar, Yash Mahajan, Ajinkya Thakare, Ruturaj Amrutkar, Pushkar. S. Joglekar · 2024
This paper presents the “Workplace Wingman,” an innovative autonomous system designed for workplace environments. Our solution integrates advanced features to optimize indoor operations. The system navigates curved roads with precision, maneuvers through roads with left and right turns, adjusts speed at stops, and employs a line-following mechanism for efficient path traversal. Furthermore, obstacle avoidance capabilities ensure safe navigation using Arduino technology. These features collectively enhance workplace efficiency, productivity, and safety. Our research contributes to the advancement of indoor autonomy, offering practical solutions to meet the evolving demands of modern workplaces. Innovatively, our system achieves autonomy without relying on Lidar, cameras, or Raspberry Pi, thus providing a cost-effective alternative without compromising performance or functionality. In addition to our development, we have reviewed and analyzed relevant research to enrich our understanding and inform our approach. The system's integration of diverse technologies demonstrates its adaptability and effectiveness in real-world workplace scenarios.