Dragoş Circa
Papers
1
Total Citations
6
H-Index
1
About
Dragoş Circa is a researcher advancing the field of autonomous mobile robotics, with a focused interest in intelligent navigation and operational efficiency. His most cited work, "Estimating Travel Time for Autonomous Mobile Robots through Long Short-Term Memory" (2023), tackles a critical bottleneck in deploying AMRs across logistics, manufacturing, and healthcare. By leveraging Long Short-Term Memory (LSTM) neural networks, Circa introduced a data-driven method that significantly improves the accuracy of travel time predictions—a key factor for effective fleet coordination and task scheduling. This contribution, garnering 6 citations in a short period, demonstrates his ability to bridge deep learning with practical robotics challenges. His research underscores a commitment to enhancing the reliability and autonomy of mobile systems in dynamic environments. As the demand for intelligent automation grows, Circa’s work provides foundational insights for developing more adaptive and efficient robotic solutions, marking him as an emerging voice in the intersection of AI and robotics engineering.
Research Focus
Key Achievements
Top Papers
- 1