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Labs & Groups - Robotics Institute Carnegie Mellon University Skip to content
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  1. Home
  2. Research
  3. Labs & Groups

Labs & Groups

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Advanced Agent - Robotics Technology Lab
Katia Sycara
Researchers explore multi-agent planning and scheduling, multi-agent learning, multi-agent negotiation, and decision support for human teams.
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AIIRA
AI Institute for Resilient Agriculture
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AirLab
Sebastian Scherer
The AIR lab develops and tests perception and planning algorithms for unmanned air vehicles.
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ARCS Lab
Jiaoyang Li
Autonomous agents accomplishing collaborative tasks intelligently in dynamic environments.
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Atkeson Lab
Chris Atkeson
My current research focus is enabling robots to learn strategies to do tasks from direct instruction, googling and using the web, observation, and practice (reinforcement learning).
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Auton Lab
Artur W. Dubrawski, Jeff Schneider
We build practical large-scale deployments of very highly autonomous self-improving systems.
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Biomedical Image Guidance
John Galeotti
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.
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Biorobotics Lab
Howie Choset, Matthew J. Travers
The Biorobotics Lab reduces complicated high-dimensional problems found in robotics to low-dimensional simpler ones for design, analysis, and planning.
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Bot Intelligence Group
Jean Hyaejin Oh
The main theme of research in Bot Intelligence Group (BIG) is to develop robotic intelligence ranging from the low-level autonomy to the high-level cognitive abilities.
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CMU Center for Autonomous Vehicle Research
Deva Kannan Ramanan, John M. Dolan
The center performs fundamental research on advanced perception and next-generation decision-making algorithms that will enable vehicles to perceive and navigate autonomously in diverse real-world conditions.
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CMU Safe AI Lab
Ding Zhao
Aims to develop reliable, explainable, verifiable, and good-for-all artificial intelligence.
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Cognitive Assistance Laboratory
Kris M. Kitani, Chieko Asakawa
Research to assist everyday life by fully utilizing the power of AI
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Computational Behavior (CUBE) Lab
Laszlo A. Jeni
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.
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Computational Imaging at CMU
Ioannis Gkioulekas, John Galeotti, Matthew O'Toole, Srinivasa G. Narasimhan
Computational imaging, illumination, display, light transport, microscopy, and more.
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Computer Vision @ CMU
The community of researchers doing Computer Vision @ CMU.
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Connecting Language to Actions & the World (CLAW) Lab
Yonatan Bisk
The lab is run by Yonatan Bisk and is housed primarily in the Language Technologies Institute, but includes members from both the ML Department and the Robotics Institute.
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CREATE Lab
Illah Nourbakhsh
Community Robotics, Education and Technology Empowerment Lab
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Deep Robot Optical Perception (DROP) Lab
Matthew Johnson-Roberson
The DROP Lab’s research goal is to develop robotic systems capable of operating in complex dynamic environments.
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DeLight
Dong Huang
We develop perception solutions, advance deep learning with light-weight approaches, and deploy light-weight algorithms to embedded platforms.
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Driverless Intelligent Vehicles Lab
John M. Dolan
The DRIVE Lab performs research on behaviors, planning, control, and perception for autonomous vehicles with a focus on adversarial multi-agent systems.
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Foam Robotics Lab
Nancy Pollard
Foam hands seek to bridge the gap in realized dexterity between soft robotics and classical rigid robot hands.
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Generative Intelligence Lab
Jun-Yan Zhu
Collaboration between Human Creators and Generative AI Models
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Graphics Lab
Jessica K. Hodgins
Modeling, animation, and rendering of 3-D scenes
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Human And Robot Partners Lab
Henny Admoni
Our goal is to understand and develop autonomous, intelligent robots that help people live better.
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Human Sensing Lab
Fernando De la Torre Frade
The goal of the Human Sensing Lab is to develop new machine learning algorithms to model and understand human behavior from sensory data.
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Illumination and Imaging Lab
Srinivasa G. Narasimhan
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.
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Intelligent Autonomous Manipulation (IAM) Lab
Oliver Kroemer
Explore the challenges of creating general purpose robots that are capable of performing manipulation tasks in unstructured and everyday environments.
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Intelligent Control Lab
Changliu Liu
Our focus is building intelligent and autonomous robots that think, behave and interact with the world in the way that human beings do, so they can better serve, assist and collaborate with people.
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Intelligent Coordination and Logistics Laboratory
Stephen Smith
Developing new theories, techniques and software technologies in planning, scheduling and control.
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Intent Robotics Lab
Andrea Bajcsy
The goal of the Interactive and Trustworthy Robotics Lab is to enable embodied AI agents to reliably interact with the open world.
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Kantor Lab
George A. Kantor, Abhisesh Silwal
Robotics for agriculture, forestry and more.
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LeCAR Lab
Guanya Shi
Exploring the intersection of machine learning and control theory.
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Legged Systems Group
Hartmut Geyer
Research focuses on legged systems: Principles of legged dynamics and control, their relation to human motor control, and rehabilitation technology.
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MattLab
Matthew J. Travers, Parvathiswara Bhaskar Vundurthy
Multi-Modal Perception Uber Good
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MetaMobility Lab
Inseung Kang
Dedicated to pioneering cutting-edge wearables, robotics, and AI technologies that transcend traditional human physical capabilities, aiming to redefine the boundaries of human mobility.
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Microdynamic Systems Laboratory
Ralph Hollis
Exploring the limits of robotics in terms of speed, precision, dexterity and miniaturization.
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Momentum Robotics Lab
Jeffrey Ichnowski
Dynamic manipulation via learning hyperparameters.
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Musculoskeletal Biomechanics Lab
Eni Halilaj
Our ultimate goal is to integrate insights from our experimental and computational work to develop effective rehabilitation strategies aimed at restoring and preserving pain-free mobility.
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Navlab
Martial Hebert, Christoph Mertz
CMU Navigation Laboratory
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Pathak Research Group
Deepak Pathak
Artificial Intelligence at the intersection of Computer Vision, Machine Learning & Robotics
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Physical Perception Lab
Shubham Tulsiani
Developing learning mechanisms to explore fundamental problems in computer vision and robot manipulation.
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Reliable Autonomous Systems Lab
Reid Simmons
We are developing reliable, highly autonomous systems (especially mobile robots) that operate in rich, uncertain environments.
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Resilient Intelligent Systems Lab
Wennie Tabib
Resilient autonomy and agile flight in complex, unstructured environments.
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Robot Perception Lab
Michael Kaess
The Robot Perception Lab performs research related to localization, mapping and state estimation for autonomous mobile robots.
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Robotic Caregiving and Human Interaction Lab
Zackory Erickson
Our research aims at enabling intelligent physical human-robot interaction.
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Robotic Exploration Lab
Zachary Manchester
The Robotic Exploration Lab conducts research in control, motion planning, and navigation for robotic systems that explore our planet and our universe.
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Robotics Academy
The Robotics Academy is committed to using the motivational effects of robotics to excite students about science and technology.
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Robots Perceiving and Doing Lab
David Held
We develop new methods for robotic perception and control to allow robots to operate in the messy, cluttered environments of our daily lives doing research at the intersection of robotics, machine learning, and computer vision.
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Search-based Planning Laboratory
Maxim Likhachev
Our goal is to develop planners that work in real-time and deal with complex real-world environments.
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SHRED Lab (Social Haptics Robotics and Education Laboratory)
Melisa Orta Martinez
Making haptics and robotics to improve Education and Wellbeing.
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Soft Machines Lab
Carmel Majidi
Soft Machines Lab creates integrated soft materials for human compatible machines and electronics.
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Surgical Mechatronics Laboratory
Cameron Riviere
We are developing intelligent tools for microsurgery and minimally invasive surgery.
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TBD Lab
Aaron Steinfeld
Transportation, Bots, & Disability Lab Supporting seamless transportation and interaction with robots
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Textiles Lab
James McCann
The Carnegie Mellon Textiles Lab extends the state of the art in textile design and fabrication. We seek to collaborate broadly both inside and outside the Carnegie Mellon community.
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Visualization and Image Analysis
George D. Stetten
We are developing new methods of displaying, analyzing, and haptically rendering images, primarily for medical applications.
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Zhang Lab
Ji Zhang
SLAM, navigation, planning, scene understanding and exploration.
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Zoom Lab
Zeynep Temel
Compliant Systems for Mechanical Intelligence
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