# Maja Matarić

Maja Matarić is an American computer scientist and a pioneer of socially assistive robotics, known for her contributions to behavior-based control, multi-robot coordination, and human-robot interaction. She is a Distinguished Professor at the University of Southern California.

Maja Matarić is an American computer scientist and a founding pioneer of the field of socially assistive robotics. She is the Chan Soon-Shiong Endowed Chair and Distinguished Professor of Computer Science, with courtesy appointments in Neuroscience and in Pediatrics, at the University of Southern California (USC). Her research spans robotics, artificial intelligence, and machine learning, with a focus on enabling robots to assist people through social interaction. She is also the author of the textbook *The Robotics Primer* (MIT Press).

## Early Life and Education

Matarić was born in Belgrade, in the former Yugoslavia (now Serbia). She immigrated to the United States in her teens with her mother, Mirjana N. Matarić, an author and educator; her father, an electrical engineer, died of cancer before their move. She earned a Bachelor of Science in Computer Science from the University of Kansas in 1987, with a minor in Psychology/Cognitive Science. She then pursued graduate studies at the Massachusetts Institute of Technology (MIT), receiving a Master of Science in Computer Science and AI in 1990 and a Doctor of Philosophy in Computer Science and AI in 1994. Her master's thesis, "A Model for Distributed Mobile Robot Environment Learning and Navigation," and her doctoral dissertation, "Interaction and Intelligent Behavior," were both advised by Rodney A. Brooks, a prominent figure in behavior-based robotics.

## Academic Career

Matarić began her academic career as an assistant professor in the Computer Science Department at Brandeis University, where she founded the Interaction Lab. In 1997, she moved to the University of Southern California, where she became the founding director of the USC Robotics and Autonomous Systems Center (RASC) and co-director of the USC Robotics Lab. At USC, she continued to lead the Interaction Lab, which became a hub for research in human-robot interaction and socially assistive robotics.

Beyond her research, Matarić took on significant leadership roles. She served as the elected president of the faculty and the Academic Senate from 2006 to 2007, as Vice Dean of Research in the USC Viterbi School of Engineering from 2006 to 2019, and as interim USC Vice President of Research from 2019 to 2020. In 2022, she was a visiting faculty researcher at Google, and later spent a two-year sabbatical as a Principal Scientist at Google DeepMind.

## Behavior-Based Control and Learning

Matarić's graduate work at MIT made foundational contributions to autonomous robot cognition. For her master's degree, she was the first to demonstrate that behavior-based systems (BBS) could be endowed with representation, giving them the expressive power to plan and learn. Her robot system, Toto, was the first behavior-based system to learn maps online and optimize its behavior. Toto remains a milestone in BBS and is highly cited in the robotics literature.

## Multi-Robot Coordination

In her doctoral research, Matarić was among the first to develop decentralized, distributed algorithms for robot teams and swarms, leveraging scalable local control. She enabled a team of 20 physical robots to cooperate on tasks such as coordinated exploration, foraging, formation organization, and homing. Prior to her work, most robotics research focused on single robots or pairs. She brought rigor to distributed robotics by showing that complex behaviors could be composed from basis behaviors in a principled way.

As a faculty member, Matarić continued to advance multi-robot coordination. Her group provided the first formal analysis of existing coordination approaches, identified their limitations, and developed provably correct yet scalable task allocation algorithms. They implemented market-based strategies in physical robot systems for tasks like object transport, area cleanup, and reconnaissance. Her lab also demonstrated online real-time learning in distributed multi-robot systems, including model learning, learning by imitation, and learning through human-robot interaction.

## Socially Assistive Robotics

Since 2000, Matarić has pioneered the field of socially assistive robotics (SAR), alongside Brian Scassellati. SAR aims to enable intelligent machines to help people help themselves through personalized, assistive social interactions, rather than physical contact. This research seeks to understand human behavior through human-machine interaction and to develop robotic systems that provide personalized assistance in rehabilitation, training, and education.

Matarić's Interaction Lab has developed intelligent human-robot interaction (HRI) and SAR algorithms capable of real-time perception, user modeling, and learning in complex, dynamic human environments. Her work is notable for validating systems with challenging populations, including post-stroke rehabilitation patients, children with autism spectrum disorders, elderly users with Alzheimer's disease, students with ADHD, and individuals with anxiety or depression. These studies have been conducted in real-world settings such as schools, therapy centers, rehabilitation clinics, nursing homes, and private homes, often over extended periods.

## Recognition and Awards

Matarić is a member of the National Academy of Engineering (NAE) and the American Academy of Arts and Sciences (AMACAD). She is a fellow of AAAS, ACM, AAAI, and IEEE. Her honors include an NSF Career Award (1996), the Presidential Award for Excellence in Science, Mathematics, and Engineering Mentoring (PAESMEM, 2011), the ACM Athena Lecturer Award (2024), and the ACM Eugene L. Lawler Award for Humanitarian Computing (2025).

## Impact and Legacy

Matarić's research has had a major impact on the way health care could be delivered to large populations, making care more affordable and accessible. Her work in socially assistive robotics has opened new avenues for using robots as companions and coaches in therapeutic and educational settings. As a leader in the field, she has also contributed to the broader robotics community through her textbook and her mentorship of numerous students and researchers.

## Selected Publications and Works

Matarić has published extensively and is highly cited across robotics, artificial intelligence, and machine learning. Her book *The Robotics Primer* (MIT Press) is a widely used introduction to robotics for students and enthusiasts. Her research papers on behavior-based control, multi-robot coordination, and socially assistive robotics are seminal in their respective areas.

## Further Reading and Links

For more on related topics, see [artificial-intelligence](https://www.wikiprompt.org/wiki/artificial-intelligence), [machine-learning](https://www.wikiprompt.org/wiki/machine-learning), human-robot interaction, and [carnegie-mellon-university](https://www.wikiprompt.org/wiki/carnegie-mellon-university). Matarić's work intersects with broader developments in [deep-learning](https://www.wikiprompt.org/wiki/deep-learning) and [neural-network](https://www.wikiprompt.org/wiki/neural-network) approaches to perception and control, as well as with efforts at institutions like [mit-csail](https://www.wikiprompt.org/wiki/mit-csail) and [stanford-ai-lab](https://www.wikiprompt.org/wiki/stanford-ai-lab). Her contributions to multi-robot systems connect to research in distributed systems and [reinforcement learning](https://www.wikiprompt.org/wiki/reinforcement-learning), while her socially assistive robotics work has implications for healthcare and assistive technology.

---
Source: https://www.wikiprompt.org/wiki/maja-mataric
License: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)
Last updated: 2026-09-12T16:19:41.782729+00:00