Robot Perception Lab
@rpl_cmu
The Robot Perception Lab (RPL) at @CMU_Robotics works on localization, mapping and state estimation for autonomous mobile robots.
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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…
Can we figure out where our robot is from touch? MidasTouch, to be presented as a @corl_conf oral, uses vision-based touch to disambiguate the pose distribution b/w a robot finger and known object. suddhu.github.io/midastouch-tac… (1/8)
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!
Excited to share our work arxiv.org/abs/2108.02274 at #CoRL2021 on learning observation models end-to-end in factor graphs! We show that learning observation models can be viewed as shaping energy functions that graph optimizers, even non-differentiable ones, optimize.🧵 1/
We are excited to announce the Tartan SLAM Series, an interactive series of presentations and discussions on SLAM! Open to both newcomers and experts. You can sign up on our website theairlab.org/tartanslamseri… to receive reminders and Zoom links to participate.
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!
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