Jacobian Estimation
Jacobian Estimation is the process of determining the Jacobian matrix, which maps the differential changes in a robot’s joint coordinates to corresponding changes in its end-effector position and orientation within the image or task space, by means of analytical modeling, learning-based approaches, or online adaptation techniques.
315
Publications
17.2K
Citations
871
Authors
403
Institutions
Publications per year
2017–2026
70
Parents
315
Manolis Lourakis, Antonis Argyros · ACM Transactions on Mathematical Software · 2009 · 774 citations
OpenVINS: A Research Platform for Visual-Inertial Estimation
Patrick Geneva, Kevin Eckenhoff, Woosik Lee et al. · 2020 · 623 citations
On the Estimation of Sparse Jacobian Matrices
A. R. Curtis, M. J. D. Powell, John Reid · IMA Journal of Applied Mathematics · 1974 · 416 citations
1–5 of 315
871
8
h-index
4
h-index
4
h-index
4
h-index
4
h-index
1–5 of 871
403
Nanyang Technological University
Singapore, Singapore
7 h-index
9 publications
550 citations

University of Alberta
Edmonton, Canada
6 h-index
17 publications
537 citations

Centre National de la Recherche Scientifique
Paris, France
6 h-index
14 publications
702 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
5 h-index
9 publications
486 citations
University of Oxford
Oxford, United Kingdom
5 h-index
11 publications
263 citations
Massachusetts Institute of Technology
Cambridge, United States
5 h-index
9 publications
551 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
11 publications
481 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
8 publications
346 citations
1–8 of 403
9 publications · 326 citations
9
h-index
IJRR · 6 publications · 2.3K citations
6
h-index
5 publications · 236 citations
5
h-index
5 publications · 168 citations
5
h-index
4 publications · 152 citations
4
h-index
1–5