معرفی
Alexander Stoytchev is an Associate Professor of Electrical and Computer Engineering at Iowa State University, holding a courtesy appointment as Associate Professor in an unspecified department. His research focuses on developmental robotics, machine learning, and human-robot interaction, emphasizing behavior-grounded approaches to object recognition, categorization, and skill acquisition. He explores topics such as sensorimotor learning, multimodal perception, and cognitive development in robots.
His work spans theoretical contributions to algorithms (e.g., Farey sequence analysis, signal processing) and applied robotics, including humanoid robot tasks like object manipulation and environmental interaction. Key themes include enabling robots to learn through exploration, correlate sensory inputs with actions, and generalize from limited experiences.
Stoytchev’s publications highlight advancements in unsupervised learning, algorithm optimization for cross-validation, and embodied cognition models. His research bridges computer science, engineering, and cognitive science, aiming to create autonomous systems capable of adaptive, human-like learning and reasoning.
