Robotics and Embodied Intelligence

Part of the AI People directory: a structured reference to the individuals shaping artificial intelligence across research, industry, governance, ethics and public discourse.

Rodney Brooks, embodied AI and behaviour-based robotics, United States. Challenged classical AI with behaviour-based robotics, arguing that intelligence emerges from interaction with the physical world rather than abstract reasoning. Founded iRobot (Roomba) and Rethink Robotics, and his critiques of AI hype remain sharp and relevant. Key works: Intelligence Without Representation (1991); the subsumption architecture.

Sebastian Thrun, autonomous vehicles and AI education, United States. Led Stanford's winning team in the DARPA Grand Challenge, catalysing autonomous-vehicle development, and founded Google X, Udacity and Waymo. Co-authored Probabilistic Robotics, the definitive textbook on robot perception under uncertainty. Key works: Probabilistic Robotics (2005); the Stanley autonomous vehicle.

Marc Raibert, legged locomotion, United States. Founded Boston Dynamics and pioneered dynamic legged robots that can run, jump and perform backflips, demonstrating that robots could achieve animal-like agility beyond the stiff, slow machines of industrial robotics. Key works: the Boston Dynamics robots (BigDog, Spot, Atlas).

Daniela Rus, distributed and soft robotics, United States. Directs MIT's Computer Science and AI Laboratory (CSAIL) and pioneered self-reconfiguring robots and soft robotics. Her vision of ubiquitous, safe robots that can work alongside humans shapes research directions across the field. Key works: soft robotics; self-reconfiguring robots.

Cynthia Breazeal, social robotics, United States. Created Kismet and Jibo, pioneering robots designed for social interaction with humans, and her work on emotional expression and social cues established human-robot interaction as a serious research discipline. Key works: Kismet; Jibo; social robotics research.

Takeo Kanade, robot vision, United States. Made foundational contributions to computer vision that enabled robots to perceive and move through physical space, spanning face recognition, motion analysis and autonomous-driving perception systems. Key works: the Lucas-Kanade algorithm; face recognition; autonomous driving.