Autonomous Learning Laboratory
Focuses on both machine and biological learning including reinforcement learning, safe machine learning, and biologically inspired machine learning.
Autonomous Mobile Robotics Laboratory
Does research in robotics to continually make robots more autonomous, accurate, robust, and efficient, in real-world unstructured environments.
Biologically Inspired Neural and Dynamical Systems Laboratory
Aims to apply techniques developed in computer science to problems in biology and neuroscience
Computational Social Science Institute
An interdisciplinary community using computational models and methods to help us understand the social world.
Computer Vision Research Lab
Investigating the scientific principles underlying the construction of integrated vision systems and the application of vision to real-world problems.
Dynamic and Autonomous Robotic Systems Laboratory
Aims to make robots that are practical tools for human life by advancing the systems faster, smarter, and robustly.
Equity, Accountability, Trust, and Explainability (EQUATE)
An initiative of CICS faculty who are engaged in research and education related to equitable algorithms and systems.
Human-Centered Robotics Lab
Dedicated to cutting-edge research on lifelong collaborative autonomy, with the goal of enabling robots to operate and adapt over long periods of time.
Information Extraction and Synthesis Laboratory
Aims to dramatically increase our ability to mine actionable knowledge from unstructured text
Knowledge Discovery Lab
Studies how to construct causal models of complex systems, a fundamental research challenge at the frontier of machine learning