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M. Kaess

25 papers hereh-index 7727.5k citations575 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author12
  • last author13

Across the 25 of 25 papers where every author was matched, so the position is known.

fields
  • cs.RO15
  • cs.CV10

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedUnsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss

19 citations · 77 across the 23 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.RO2020

Learning Tactile Models for Factor Graph-based Estimation

Paloma Sodhi, Michael Kaess, Mustafa Mukadam +1

We're interested in the problem of estimating object states from touch during manipulation under occlusions. In this work, we address the problem of estimating object poses from to…

cs.RO2020★ 2 cited

Compositional Scalable Object SLAM

Akash Sharma, Wei Dong, Michael Kaess

We present a fast, scalable, and accurate Simultaneous Localization and Mapping (SLAM) system that represents indoor scenes as a graph of objects. Leveraging the observation that a…

cs.RO2020

Tactile SLAM: Real-time inference of shape and pose from planar pushing

Sudharshan Suresh, Maria Bauza, Kuan-Ting Yu +3

Tactile perception is central to robot manipulation in unstructured environments. However, it requires contact, and a mature implementation must infer object models while also acco…

cs.CV2020

An Efficient Planar Bundle Adjustment Algorithm

Lipu Zhou, Daniel Koppel, Hui Ju +2

This paper presents an efficient algorithm for the least-squares problem using the point-to-plane cost, which aims to jointly optimize depth sensor poses and plane parameters for 3…

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