Robot Perception Lab @rpl_cmu X Profile

Robot Perception Lab

@rpl_cmu

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529

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

Pittsburgh, PA

Joined July 2020

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Robot Perception Lab

@rpl_cmu

4 years

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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Robot Perception Lab

@rpl_cmu

3 years

RT @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….

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Robot Perception Lab

@rpl_cmu

4 years

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

4 years

Excited to share our work 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/.

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Robot Perception Lab

@rpl_cmu

4 years

(7/7) . A Complete, Accurate and Efficient Solution for the Perspective-n-Line Problem. Paper:

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Robot Perception Lab

@rpl_cmu

4 years

(6/7) . πLSAM: LiDAR Smoothing and Mapping With Planes. Paper:

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Robot Perception Lab

@rpl_cmu

4 years

(5/7) . Tactile SLAM: Real-time Inference of Shape and Pose from Planar Pushing. Website: Paper:

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Robot Perception Lab

@rpl_cmu

4 years

(4/7) . Learning Tactile Models for Factor Graph-based Estimation. Website: Paper:

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Robot Perception Lab

@rpl_cmu

4 years

(3/7) . Compositional and Scalable Object SLAM. Paper: Code:

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Robot Perception Lab

@rpl_cmu

4 years

(2/7). HyperMap: Compressed 3D Map for Monocular Camera Registration. Paper:

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Robot Perception Lab

@rpl_cmu

4 years

RT @airlabcmu: We are excited to announce the Tartan SLAM Series, an interactive series of presentations and discussions on SLAM! Open to b….

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Robot Perception Lab

@rpl_cmu

4 years

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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Robot Perception Lab

@rpl_cmu

5 years

(5/5). Efficient Trajectory Library Filtering for Quadrotor Flight in Unknown Environments. #iros2020 on-demand: Paper:

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Robot Perception Lab

@rpl_cmu

5 years

(4/5). A Theory of Fermat Paths for 3D Imaging Sonar Reconstruction. #iros2020 on-demand: Paper:

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Robot Perception Lab

@rpl_cmu

5 years

(3/5). A Robust Multi-Stereo Visual-Inertial Odometry Pipeline. #iros2020 on-demand: Paper:

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Robot Perception Lab

@rpl_cmu

5 years

(2/5) . ARAS: Ambiguity-aware Robust Active SLAM based on Multi-hypothesis State and Map Estimations. #iros2020 on-demand: Paper:

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Robot Perception Lab

@rpl_cmu

5 years

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: Paper:

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Robot Perception Lab

@rpl_cmu

5 years

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

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Robot Perception Lab

@rpl_cmu

5 years

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.

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Robot Perception Lab

@rpl_cmu

5 years

The keynote and panel debate are online at Frank and Michael talk about @gtsam4 , factor graphs across domains, and the open problems.

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Robot Perception Lab

@rpl_cmu

5 years

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:

Frank Dellaert

@fdellaert

5 years

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:

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