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About

Suresh Gobee is a robotics researcher whose work bridges autonomous systems, human-robot interaction, and assistive technologies. His primary research areas include autonomous navigation, speech-controlled robotics, humanoid control, and soft robotics for search and rescue. Gobee’s most cited work, “Autonomous Tour Guide Robot using Embedded System Control” (27 citations), demonstrates his early contribution to interactive service robots capable of self-localization and mapping. He has also advanced voice-controlled navigation, developing systems that enable wheelchair and robot movement through isolated word recognition, with noise filtering via Fast Fourier Transform. His research on humanoid robot upper limb control using Microsoft Kinect (5 citations) introduced novel mimicry-based control methods, moving beyond traditional joystick interfaces. Gobee’s more recent work includes designing an Automated Guided Vehicle (AGV) using Robot Operating System (ROS) for flexible industrial navigation, and developing a fully soft robotic snake for hazardous search-and-rescue environments. He has also contributed to rehabilitation robotics through a soft exoskeleton for upper limb therapy, and to industrial automation with a vision-based PCB inspection system integrated with IoT. With a portfolio spanning service, assistive, and industrial robotics, Gobee’s work consistently focuses on making robots more intuitive, autonomous, and adaptable to real-world challenges.