Embodied AI puts intelligence inside machines that have to perceive, reason, and act in the physical world, where sensor data is noisy and there is no pause button. The talk covers perception, decision making under uncertainty, and AI-driven control in autonomous mobile robots, along with the open challenges and emerging applications of intelligent robotic systems.
Presenter: Dr. Gokhan Erdemir, Senior Member IEEE
Dr. Gokhan Erdemir is an Associate Professor in the Department of Engineering Management and Technology at the University of Tennessee at Chattanooga (UTC). He leads research activities in UTC’s Robotics, Intelligent Systems, and Control Lab (RISC-Lab), focusing on robotics, autonomous mobile systems, intelligent control, and AI-driven robotic applications. The RISC-Lab supports research at the intersection of artificial intelligence and mobile robotics. His recent research explores the convergence of embodied artificial intelligence, autonomous robotics, and intelligent control, with particular emphasis on integrating advanced AI capabilities into the perception, reasoning, and action loops of physical robotic systems. His work spans edge-deployed language models for natural-language robot control, vision-based localization in challenging environments, AI-driven environmental and surface perception, multi-robot coordination through natural-language interfaces, and adaptive decision-making for autonomous systems operating in complex and dynamic real-world environments.
Please register to attend through IEEE event site.