Professor Daniela Rus is conducting transformative research in robotics and autonomy, designing new ways to build adaptive AI models via liquid neural networks, creating systems for training with simulation like VISTA 2.0, and more. She has done extensive work on soft robotics, reconfigurable robots, interactive robots, robots with medical applications, multi-robot teams, and self-driving cars.
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Professor Armando Solar-Lezama is creating tools and methods for computer assisted programming, or using AI to develop computer systems and write code. One of his research group’s central contributions is the development of new approaches to software synthesis that can combine information from different sources to produce the code that the programmer wants.
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Associate Professor Pulkit Agrawal studies computational sensorimotor learning, which encompasses problems in perception, control, hardware design, robotics, reinforcement learning, and other learning approaches to control. His group is currently working to develop foundation models for physical intelligence, particularly with the help of simulation, in pursuit of the goal of general artificial intelligence.
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Professor Shafi Goldwasser leads the Cryptography and Information Security Group and the Complexity Theory Group at CSAIL. Her current research is focused on the development of tools which allow for the maximal use of modern computation while preserving the basic right to be left alone. She’s also studying the use of randomness in algorithm design and novel paradigms in complexity theory.
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