Max Robotics — Global Service Robot Directory + US Certification

About

Sri Wahyuni is a robotics researcher whose work centers on autonomous mobile robot navigation, human-robot interaction, and intelligent path planning. Her most cited paper, “Path Planning and Smoothing in Maze Exploration Using Virtual Mobile Robot-Based Modified Probabilistic Road Map” (2022, 5 citations), introduces an innovative method for generating efficient, smooth trajectories in complex environments, directly addressing a core challenge in mobile robotics. She further demonstrates the practical application of these technologies in “Autonomous Museum Tour Guide Robot With Object Detection Using Tensorflow Learning Machine” (2022, 5 citations), where she developed a fully autonomous guide capable of navigating museum spaces and delivering informative tours, showcasing a tangible replacement for human resources in tourism. Wahyuni also pushes the boundaries of natural interaction in “Towards Controlling Mobile Robot Using Upper Human Body Gesture Based on Convolutional Neural Network” (2023, 2 citations), pioneering a gesture recognition system that interprets the entire upper body for intuitive robot control. Her foundational work on speed stability across varied terrains (“Kestabilan Kecepatan Mobile Robot pada Lintasan Mendatar, Tanjakan Serta Turunan,” 2019, 2 citations) rounds out a portfolio that consistently advances the reliability and usability of autonomous systems. With a clear focus on real-world deployment, Wahyuni’s research is shaping the future of service robotics.