Michael Kaess
@michaelkaess
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Joined February 2017
RT @AirLabCMU: We are excited to announce the release of our open-source calibration package called TartanCalib, which improves reprojectio….
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A different approach to learning that doesn't require differentiable optimizers!.
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!.
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RT @airlabcmu: Tomorrow at 12:00 pm EST @jleonardmit will be presenting his talk titled, "The Past, Present and Future of SLAM" live on You….
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Congratulation to my students: 7 papers at ICRA including one award finalist!.
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:
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Congratulations to all my students! More details on the papers soon.
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:.. Congratulations to all the authors!.
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Congratulations Ed!.
Dear @NASAPersevere, what an amazing landing! Congratulations! My joy trebled when I saw that you have a number of AprilTag visual fiducials on board (. I pulled out the AprilTag iOS app, enabled the 16h5 tag family, and was able to read these tags!
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RT @roboVisionCMU: 40 papers from the RI accepted to IROS 2020! Super proud of our researchers. Well done everyone! @CMU_Robotics
https://t….
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RT @SCSatCMU: Congratulations to Michael Kaess @CMU_Robotics, who shares the inaugural @RoboticsSciSys Test of Time Award with Frank Dellae….
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