Research - Robotics Institute Carnegie Mellon University
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Research

The Robotics Institute is a worldwide hub of robotics research that encompasses a diverse array of topics.

Browse Faculty by Research Topics

Graphics & Creative Tools
Human-Centered Robotics
Manipulation & Interfaces
Robot Structures
Robotics Foundations
Sensing & Perception
Field & Service Robotics
Aerial Robotics
Full Stack Autonomy
Industrial Robotics
Intelligent Transportation Systems
Manufacturing Robotics
Mining Robotics
Robotics for Scientific Discovery
Robotics in Agriculture and Forestry
Robotics in Construction
Robotics in Hazardous Application
Search and Rescue Robotics
Space Robots and Systems
Underwater Robotics
Graphics & Creative Tools
Animation
Augmented Reality
Computer-Aided Fabrication
First-Person Vision
Imaging
Rendering
Simulation
Textiles Manufacturing
Human-Centered Robotics
Biologically Inspired and Evolutionary Robotics
Domestic Robotics
Human Activity Forecasting
Human Robot Collaboration
Human-Robot Interaction
Humanoids
Medical Robotics and Computer-Integrated Surgery
Neurorobotics: From Vision to Action
Perceptual Robotics
Rehabilitation and Health Care Robotics
Roboethics: Social and Ethical Implications of Robotics
Robot Programming by Demonstration
Robots for Education
Safety for Physical Human-Robot Interaction
Social Robots
Manipulation & Interfaces
Behavior-based Systems
Contact Modeling and Manipulation
Cooperative Manipulators
Distributed and Cellular Robots
Grasping
Haptics
Motion for Manipulation Tasks
Networked Robots
Robot Learning for Manipulation
World Modeling
Robot Structures
Kinematically Redundant Manipulators
Legged Robots
Micro/Nanorobots
Model Identification
Parallel Mechanism and Robots
Robot Hands
Robots with Flexible Elements
Soft Robotics
Wheeled Robots
Robotics Foundations
Active Perception
AI Reasoning for Articulated Systems
AI Reasoning for Multi-Robot Systems
AI Reasoning for Robotics
Business and Robotics
Computer Vision
Control Theory
Deep Learning
Dynamics
Force Control
Geometric Algorithms
Kinematics
Learning and Classification
Machine Learning Embedded in Systems
Mechanisms and Actuation
Motion Control
Motion Planning
Multi-Robot Planning & Coordination
Natural Language Processing
Planning & Scheduling
Reinforcement Learning
Robotic Systems Architectures and Programming
Sensing & Perception
3-D Vision and Recognition
Facial Recognition
Force and Tactile Sensors
Inertial Sensors, GPS, and Odometry
Multisensor Data Fusion
Sensing and Estimation
Simultaneous Localization and Mapping
Visual Servoing and Visual Tracking
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Robots

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Recent Publications

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Development of a Flexible Parallel Wire Robot for Epicardial Interventions
Aman Ladak, Johannes O. Bonatti, Roger J. Hajjar, Alaaeldin A. Shalaby, and Cameron N. Riviere
Journal Article, The International Journal of Medical Robotics and Computer Assisted Surgery, January, 2026
Building richer 3D maps: utilizing a hybrid geometry representation and auxiliary inputs in neural surface reconstruction
Montiel Abello
PhD Thesis, Tech. Report, CMU-RI-TR-25-104, December, 2025
Reduced Degree-of-Freedom Mobility: Investigating Skid and Passive Steering for Planetary Rovers
Ethan Holand
Master's Thesis, Tech. Report, CMU-RI-TR-25-87, December, 2025
3D Thermal Perception for Autonomous Navigation in Visually Degraded, Unstructured Environments
Yifei Liu
Master's Thesis, Tech. Report, CMU-RI-TR-25-103, December, 2025
Towards Personalized Assistive Systems: Leveraging Large Language Models for Prediction and Intervention
Michaela Tecson
Master's Thesis, Tech. Report, CMU-RI-TR-25-106, December, 2025
A Modularized Approach to Vision-based Tactile Sensor Design Using Physics-based Rendering
Arpit Agarwal
PhD Thesis, Tech. Report, CMU-RI-TR-24-37, December, 2025
Vision-Based Multi-Wire Detection and Tracking for UAV Wire Approach
Tyler Harp
Master's Thesis, Tech. Report, CMU-RI-TR-25-100, December, 2025
Robotic System Design Principles for Human-Human Collaboration
Samantha Speer
PhD Thesis, Tech. Report, CMU-RI-TR-25-105, December, 2025
Towards Scaling Embodied Data for Robot Learning
Tony (Long) Tao
Master's Thesis, Tech. Report, CMU-RI-TR-25-102, December, 2025
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Labs

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