MIT’s AI Robotics Lab Director Is Building People-Centered Robots

Breaking Barriers: Daniela Rus's Journey to Building People-Centered Robots

Daniela Rus, the director of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), has spent her career pushing the boundaries of what is possible with robotics. Her work has taken her from the state-run factories of communist Romania to the forefront of global robotics research, earning her numerous accolades, including the IEEE Edison Medal. Rus's mission is to make technology humane and to make the most of the opportunities afforded by life in the United States.

A Childhood Under Dictatorship

Rus was born in Cluj-Napoca, Romania, during the rule of dictator Nicolae Ceausescu. Her early life was marked by scarcity – rationed food, intermittent electricity, and a limited ability to move up or out. Despite these challenges, Rus recalls that she was surrounded by an irrepressible warmth and intellectual curiosity, even when she was making locomotive screws in a state-run factory as part of her school's curriculum.

America's Open Horizons

In 1982, Rus's father, Teodor, emigrated to the United States to join the faculty at the University of Iowa, in Iowa City. Within a year, Daniela and her mother, Elena, joined him there. Rus's father wanted the freedom to think, to publish, to explore ideas, and Rus reaped the benefits of being free from the limitations of their homeland. America's open horizons were intoxicating, and Rus decided to pursue a degree at her father's university.

A Lecture that Changed Everything

One afternoon, John Hopcroft, a Turing Award-winning Cornell computer scientist, gave a talk on campus. His message was simple but electrifying: classical computer science had been solved, and the next frontier was computations that interact with the messy physical world. Rus was inspired by the idea and realized that the future of computing wasn't just about logic and code; it was about how machines can perceive, move, and help us in the real world.

Developing Algorithms for Dexterous Robotic Manipulation

After the lecture, Rus introduced herself to Hopcroft and told him she wanted to learn from him. Not long after earning her bachelor's degree in computer science and mathematics in 1985, she applied to get a master's degree at Cornell, where Hopcroft became her graduate advisor. Rus developed algorithms for dexterous robotic manipulation, teaching machines to grasp and move objects with precision. She earned her master's in computer science in 1990, then stayed on at Cornell to work toward a doctorate.

Founding the Distributed Robotics Laboratory

In 1993, Rus earned her Ph.D. in computer science and took a position as an assistant professor of computer science at Dartmouth College, in Hanover, N.H. She founded the college's robotics laboratory and expanded her work into distributed robotics. She developed teams of small robots that cooperated to perform tasks such as ensuring products in warehouses are correctly gathered to fulfill orders, get packaged safely, and are routed to their respective destinations efficiently.

Pioneering the Use of 3D Printing

Despite a lack of traditional machine shop facilities for fabrication on the Hanover campus, Rus found a way. She pioneered the use of 3D printing to rapidly prototype and build robots. This innovation allowed her to create complex shapes and structures that were previously impossible to manufacture.

Building Soft-Body Robots

Rus now leads pioneering research at the intersection of AI and robotics, a field she calls physical intelligence. It's "a new form of intelligent machine that can understand dynamic environments, cope with unpredictability, and make decisions in real time." Her lab builds soft-body robots inspired by nature that can sense, adapt, and learn. They are AI-driven systems that passively handle tasks – such as self-balancing and complex articulation similar to that done by the human hand – because their shape and materials minimize the need for heavy processing.

Ingestible Robots

One prototype developed by Rus's team is designed to retrieve foreign objects from the body, including batteries swallowed by children. The ingestible robots are artfully folded, similar to origami, so they are small enough to be swallowed. Embedded magnetic materials allow doctors to steer the soft robots and control their shape. Upon arriving in the stomach, a soft bot can be programmed to wrap around a foreign object and guide it safely out of the patient's body.

Expanding Technical Interests

Rus has expanded her technical interests to include several complementary lines of research. She's working on self-reconfiguring and modular robots such as MIT's M-Blocks and NASA's SuperBots, which can attach, detach, and rearrange themselves to form shapes suited for different actions such as slithering, climbing, and crawling. With networked robots – including those Amazon uses in its warehouses – thousands of machines can operate as a large adaptive system.

Founding Liquid AI

Rus helped found Liquid AI in 2023, a company based in Cambridge, Mass., that develops liquid neural networks, inspired by the simple brains of worms, that can learn and adapt continuously. The word liquid in this case refers to the adaptability, flexibility, and dynamic nature of the team's model architecture. It can change shape and adapt to new data inputs, and it fits within constraints imposed by the hardware in which it's contained.

Finding Community in IEEE

Rus joined IEEE at one of its robotics conferences when she was a graduate student. She credits the organization's conferences, journals, and collaborative spirit with shaping her professional growth. The exchange of ideas, the chance to test her thinking against others – it's invaluable. It's how our field moves forward.

Living the American Dream

Looking back, Rus sees her story as a testament to unforeseen possibilities. When she was growing up in Romania, she couldn't even imagine living in America. Now she's here, working with brilliant students, building robots that help people, and trying to make a difference. She feels like she's living the American dream.

Forward-Looking Thoughts

Rus's work has far-reaching implications for many fields, from healthcare to manufacturing to transportation. Her vision of giving people new powers through machines that can think and move safely in the physical world is a compelling one. As we move forward, it's essential to consider the potential benefits and challenges of this technology and to ensure that we're using it to make the world a better place for all.

Source: https://spectrum.ieee.org/mits-ai-robotics-lab-director