Here, researchers explore multi-agent planning and scheduling, multi-agent learning, multi-agent negotiation, and decision support for human teams

The AIR lab develops and tests perception and planning algorithms for unmanned air vehicles.

We build practical large-scale deployments of very highly autonomous self-improving systems.

Our research into the guidance of biomedical tools applies novel optics and computer vision algorithms to the design and real-time analysis of biomedical imaging modalities such as OCT and ultrasound.

Aims to develop reliable, explainable, verifiable, and good-for-all artificial intelligence.

The CUBE Lab focuses broadly on multi-modal methods for computational behavior science, specifically in areas of modeling, analysis, and synthesis of human behavior and emotion using diverse sensors.

Modeling, animation, and rendering of 3-D scenes

Community Robotics, Education and Technology Empowerment Lab

The DROP Lab's research goal is to develop robotic systems capable of operating in complex dynamic environments.

Our goal is to understand and develop autonomous, intelligent robots that help people live better.

We are interested in many aspects of human-robot interaction related to how humans and robots can work safely and effectively together.

The Illumination and Imaging (ILIM) Laboratory at the Robotics Institute is dedicated to the study of light transport and the development of novel illumination and imaging technologies.

developing new theories, techniques and software technologies in planning, scheduling and control

Robotics for agriculture, forestry and more.

Exploring the limits of robotics in terms of speed, precision, dexterity and miniaturization.

CMU Navigation Laboratory

Literacy/Language/Learning Innovation/Instruction that Speech Technology ENables

We are developing reliable, highly autonomous systems (especially mobile robots) that operate in rich, uncertain environments.

Resilient autonomy and agile flight in complex, unstructured environments.

Our research aims at enabling intelligent physical human-robot interaction.