Robot Perception Lab
The Robot Perception Lab at Carnegie Mellon University's Robotics Institute performs research on localization, mapping, and state estimation for autonomous mobile robots. Founded in 2014 by Prof. Michael Kaess, the lab is part of both the Field Robotics Center and the Computer Vision Group. Research applications span underwater robots, aerial robots, and handheld mapping systems.
Notable achievements
Research in visual localization and mapping for autonomous systems
Notable work
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
DopRIO: Doppler strengthened tightly-coupled 4D millimeter-wave radar–inertial odometry
Ruiqi Cheng, Huijun Di, Jian Li +2 more
Robotics and Autonomous Systems · 2026
A digital twin-empowered resilient path-following approach for non-holonomic autonomous vehicles under DoS attacks
Hunain Kaisar, Muhammad Rehan, Ijaz Ahmed +1 more
Robotics and Autonomous Systems · 2026
Gaussian process-driven monocular vision-based state estimation for autonomous navigation
Yunchen Ge, Neel P. Bhatt, Ehsan Hashemi
Robotics and Autonomous Systems · 2026
Integrating computer vision and Kalman filter in an assistive system for visually impaired individuals to predict hand-object interaction
Amirmohammad Barsalani, Arman Mardani, Hamidreza Daniali
Robotics and Autonomous Systems · 2026
DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation
Jusuk Lee, Seungjae Lee, Jonghun Shin +6 more
2026
Human-in-the-Loop Swarms: A Bionic Swarm Approach to Real-World Soil Mapping
Petras Swissler, Mohammadali Rashidioun, Nicholas Sahu +3 more
2026