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Trends in Robotics
Webinar
Date
Tuesday, October 28, 2025
Time
11:00 am
Humanoid robots have long captured our imagination. Interest has skyrocketed along with the perception that robots are getting closer to taking on a wide range of labor-intensive tasks. What is driving this vision is not a preference for the human form but a recognition that humans are generalists—adaptable, quick to learn, and effortlessly retaskable.
This stands in contrast with decades of industrial automation, which have led to enormous gains in productivity by narrowing the scope of solutions to well-bounded tasks. However, designing systems that can scale economically to address the high diversity and stiff requirements of industrial labor tasks remains a significant open challenge.
Join us as we reflect on what we’ve learned by observing factory floors, and why we’ve grown convinced that chasing generalization in manipulation—both in hardware and behavior—isn’t just interesting, but necessary. We’ll discuss AI research threads we’re exploring at Boston Dynamics to push this mission forward, and highlight opportunities our field should collectively invest more in to turn the humanoid vision, and the reinvention of manufacturing, into a practical, economically viable product.
Director of Robot Behavior, Atlas
Boston Dynamics
Alberto Rodriguez is the Director of Robot Behavior in the Atlas humanoid project at Boston Dynamics, where he leads teams working in controls, perception, planning, and machine learning behavior to bring the Atlas humanoid to scale. Alberto enjoys working at the intersection of hardware and software to build robots with physical intelligence. Before joining Boston Dynamics, he was a faculty member at the Mechanical Engineering Department at MIT and Director of the MCube Lab.
Vice President of Robotics Research
Scott Kuindersma is the Vice President of Robotics Research at Boston Dynamics, where he has led research on Atlas. His research primarily focuses on advancing the state of the art in humanoid manipulation using reinforcement learning and generative models. Prior to Boston Dynamics, he was a faculty member at Harvard’s School of Engineering and Applied Sciences and Director of the Harvard Agile Robotics Laboratory.