Mihai Andronie

About

Mihai Andronie is a leading researcher at the intersection of artificial intelligence, robotics, and industrial automation, with a particular focus on the Internet of Robotic Things (IoRT) and the Internet of Manufacturing Things (IoMT). His work systematically synthesizes advances in big data management algorithms, deep learning-based object detection, geospatial simulation, and sensor fusion tools that enable autonomous robotic systems to perceive, navigate, and act in complex environments. Andronie’s highly cited systematic reviews—including his 2023 paper on IoRT (109 citations) and his 2022 work on IoMT (106 citations)—have become foundational references for researchers and engineers developing smart manufacturing and robotic ecosystems. His 2022 review on remote big data management and visual perception algorithms (80 citations) further cements his role in mapping the technological landscape of intelligent robotics. By integrating insights across sensing, computing, and environment mapping, Andronie provides a critical framework for understanding how deep learning and geospatial data converge to drive the next generation of autonomous, data-driven industrial systems. His work is essential reading for anyone exploring the future of connected, intelligent robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Big Data Management Algorithms, Deep Learning-Based Object Detection Technologies, and Geospatial Simulation and Sensor Fusion Tools in the Internet of Robotic Things

   109 citations · 2023
2. 2
   Deep Learning-Assisted Smart Process Planning, Robotic Wireless Sensor Networks, and Geospatial Big Data Management Algorithms in the Internet of Manufacturing Things

   106 citations · 2022
3. 3
   Remote Big Data Management Tools, Sensing and Computing Technologies, and Visual Perception and Environment Mapping Algorithms in the Internet of Robotic Things

   80 citations · 2022

Key Collaborators

Contact & Links