Generations in Dialogue: Embodied AI, robotics, perception, and action with Professor Roberto Martín-Martín - Robohub

The article discusses the third episode of the AAAI podcast series "Generations in Dialogue: Bridging Perspectives in AI," which features a conversation between host Ella Lan and Professor Roberto Martín-Martín. The series aims to explore how generational experiences influence perspectives on AI, addressing challenges, opportunities, and ethical considerations in the field. In this episode, Martín-Martín shares insights from his childhood curiosity about technology to his current research focus on embodied AI, robotics, perception, and action. He emphasizes the importance of making robots accessible to everyone and discusses how machines can augment human capabilities, drawing inspiration from human cognition and interdisciplinary fields like psychology and cognitive science. Professor Roberto Martín-Martín is an Assistant Professor of Computer Science at the University of Texas at Austin, specializing in integrating robotics, computer vision, and machine learning to develop autonomous agents capable of real-world perception and action. His research covers a range of tasks from basic manipulation and navigation to complex activities such as cooking and mobile manipulation. With a background that includes positions