In Machines We Trust: I Was There When... Robots Learned to Run

Marc Raibert, founder of Boston Dynamics, traces the evolution of robotics from early, tethered prototypes to agile, autonomous machines like Spot that currently navigate complex environments. Moving beyond purely mechanical locomotion, the focus has shifted toward the Boston Dynamics AI Institute, which aims to bridge the gap between physical dexterity and cognitive function. By integrating large language models with robotics, the goal is to enable machines to learn tasks through observation—the "Watch, Understand, Do" paradigm—rather than manual programming. These advancements target real-world utility, including assistive technologies for individuals with disabilities and elderly care, where robots must safely interact with human spaces and perform nuanced, generalized tasks without the need for constant human intervention or complex, pre-defined instructions.