VLA Models and the New Robotics

This talk explores the transformative journey of robot learning, from traditional hand-coded behaviors and classical control systems to modern learning-based approaches and the rise of foundation models in robotics. We begin by examining how the limitations of rigid, pre-programmed systems have driven the adoption of data-driven methods, enabling robots to adapt to dynamic environments. Central to this evolution is the emergence of Vision-Language-Action (VLA) models, which integrate vision, language, and action spaces to create a unified framework for robotic interaction. We highlight the potential of VLA to redefine the future of robotics through seamless integration of perception, language, and action.