Research Overview
Robotics is driven by the integration of 4 key research themes. Our curriculum is informed and crafted around building robotic systems that can sense, think, and act in the real-world.
Research Centers
Computer Vision
The robust computer vision research at CMU has led to breakthroughs in 3D scene reconstruction, object recognition, autonomous vehicles, agricultural monitoring, and beyond. We have several labs, facilities, faculty, and students dedicated to enhancing multifaceted computer vision research.
The number of faculty focused on enabling machines to interpret and understand the visual world places us a global leader in the field.
Field Robotics
Field robotics includes the automation of land, sea and air platforms with applications in mining, cargo handling, agriculture, underwater exploration and exploitation, highways, planetary exploration, coastal surveillance and rescue. The CMU Field Robotics Center members and numerous other labs continue to expand the boundaries of what a robot can do in the real world.
The Robotics Institute helped create some of the first robots sent inside volcanoes, to deep water, and Mars.
Human-Robot Interaction
Healthcare Robotics
AI Reasoning for Robotics
Reinforcement Learning, Deep Learning, Control and Motion Theory, Active Perception, Simultaneous Localization and Mapping and Robot Programming by Demonstration are a sampling of the areas at the mathematical core of robotics research.
The future of artificial intelligence is being forged here at Carnegie Mellon University.