The Robot Perception Lab performs research related to localization, mapping and state estimation for autonomous mobile robots. The lab was founded in 2014 by Prof. Michael Kaess. The lab is part of the Robotics Institute at Carnegie Mellon University and belongs to both the Field Robotics Center and the Computer Vision Group.
Applications of our research span a wide range from underwater robots to aerial robots and handheld systems for mapping.
- Our new water tank is now in operation.
- At IROS 2017 we have organized a workshop on Lines, Planes, Manhattan Models for 3D Mapping and presented our work on GravityFusion.
- We have published an extended article on Factor Graphs for Robot Perception.
- We have presented 4 publications at ICRA 2017: Keyframe-based dense planar SLAM, manifold particle filter for state estimation under contact, robust stereo matching, and direct visual odometry using binary descriptors
- We have presented 5 publications at IROS 2016: GPS-denied long distance flight, inference with multimodal posteriors, data association for ASFM, underwater mapping, and monocular planar mapping.