Michael Kaess
9 posts
We will be talking about our work, LEO, this Wednesday at #CoRL2021. We show that learning observation models can be viewed as shaping energy functions that graph optimizers, even non-differentiable ones, optimize. Come visit us at the poster session!
Here's a look at our lab's research, presented at #ICRA2021. We have papers spanning object SLAM, monocular perception, manipulation, and optimization! (1/7) A Graph-Based Method for Joint Instance Segmentation of Point Clouds and Image Sequences Paper: cs.cmu.edu/~kaess/pub/Abe…
Pleased to announce that all 7 papers submitted by RPL at #icra2021 have been accepted! Be sure to also checkout the workshop on Visual Inertial Navigation systems: udel.edu/~ghuang/icra21… Congratulations to all the authors!
Dear @NASAPersevere, what an amazing landing! Congratulations! My joy trebled when I saw that you have a number of AprilTag visual fiducials on board (github.com/AprilRobotics/…). I pulled out the AprilTag iOS app, enabled the 16h5 tag family, and was able to read these tags!
