Robot Perception Lab

The Robot Perception Lab (RPL) at @CMU_Robotics works on localization, mapping and state estimation for autonomous mobile robots.

[Robot Perception Lab @rpl_cmu]

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: https://t.co/lH269QjtIy

[Sudharshan Suresh @Suddhus]

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.

https://t.co/oqJ50zFMxw (1/8)

[Robot Perception Lab @rpl_cmu]

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!

[Paloma Sodhi @PalomaSodhi]

Excited to share our work https://t.co/vRRxh93odP 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/

[Robot Perception Lab @rpl_cmu]

(7/7)

A Complete, Accurate and Efficient Solution for the Perspective-n-Line Problem

Paper: https://t.co/5vRU9L3yXR

[Robot Perception Lab @rpl_cmu]

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: https://t.co/lH269QjtIy

[Robot Perception Lab @rpl_cmu]

(6/7)

πLSAM: LiDAR Smoothing and Mapping With Planes

Paper: https://t.co/eQBeAPgXu7

[AirLab @AirLabCMU]

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 https://t.co/zjoOkuI30T to receive reminders and Zoom links to participate.

[Robot Perception Lab @rpl_cmu]

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:
https://t.co/iwWbF0D2Lf

Congratulations to all the authors!

[Robot Perception Lab @rpl_cmu]

(5/5)

Efficient Trajectory Library Filtering for Quadrotor Flight in Unknown Environments

#iros2020 on-demand: https://t.co/9FBdtYZZBf
Paper: https://t.co/plvmCogwDP

[Robot Perception Lab @rpl_cmu]

Here's a thread of the lab's research, presented at #IROS2020:

(1/5)

Efficient Multiresolution Scrolling Grid for Stereo Vision-based MAV Obstacle Avoidance

#iros2020 on-demand: https://t.co/6jEdLXrzxw
Paper: https://t.co/sYxRkXExsJ

[Robot Perception Lab @rpl_cmu]

(4/5)

A Theory of Fermat Paths for 3D Imaging Sonar Reconstruction

#iros2020 on-demand: https://t.co/1AyeXdTP7s
Paper: https://t.co/QhplRBNsW8

[Robot Perception Lab @rpl_cmu]

Includes recent work from @lucacarlone1, @fdellaert, @davsca1 and more!

[Robot Perception Lab @rpl_cmu]

The lab's (virtual) summer reading group just concluded! Check our website for presenter notes and papers across perception, optimization, mapping, localization, and field robotics.
https://t.co/9c8JmW4Smx

[Robot Perception Lab @rpl_cmu]

The keynote and panel debate are online at https://t.co/im4M2ITL7w! Frank and Michael talk about @gtsam4 , factor graphs across domains, and the open problems.

[Robot Perception Lab @rpl_cmu]

Congrats to @fdellaert and @michaelkaess, who receive the #RSS2020 test of time award for their work on Square Root SAM!

Be sure to check out their keynote on July 14: https://t.co/SdvGwzfBSr

[Frank Dellaert @fdellaert]

Honored and humbled to get the “test of time award” at RSS, with @michaelkaess for our work on Square Root SAM, introducing factor graphs and eventually leading to iSAM, iSAM2, and @gtsam4 . Tune in for a special keynote next Tuesday: https://t.co/06y5vbt2eW