Max Robotics — Global Service Robot Directory + US Certification

About

Erdem Erdemir is a robotics and artificial intelligence researcher whose work sits at the intersection of cognitive control, humanoid robotics, and machine learning. His most influential contributions focus on developing biologically inspired control architectures for humanoid robots, most notably through his work on cognitive control systems for the ISAC humanoid robot platform, which has garnered 73 citations and established a foundation for intelligent robot control beyond traditional model-based approaches. Erdemir has made significant strides in affordance learning, exploring how robots can internally rehearse experiences to discover statistical relationships between actions and environmental outcomes — a remarkably human-like approach to robotic cognition. His work on dynamic movement primitives with obstacle avoidance and hybrid neural network-based PID control further demonstrates his versatility across both theoretical and applied robotics challenges. Later contributions extend his interests into deep learning for pipe inspection robots and gesture-based human-robot collaboration in manufacturing settings, reflecting a career that has evolved alongside the field. Across more than a decade of research, Erdemir's cumulative citation record reflects sustained influence in cognitive robotics, with particular impact during the formative years of intelligent humanoid robot development in the late 2000s.