output
20112026
most citedQuaternion kinematics for the error-state Kalman filter

410 citations

Showing 2021Show all

7 papers · 1 filter

cs.RO2021★ 29 cited

Household Cloth Object Set: Fostering Benchmarking in Deformable Object Manipulation

Irene Garcia-Camacho, Júlia Borràs, Berk Calli +2

Benchmarking of robotic manipulations is one of the open issues in robotic research. An important factor that has enabled progress in this area in the last decade is the existence…

cs.RO2021★ 6 cited

An Adaptable Approach to Learn Realistic Legged Locomotion without Examples

Daniel Ordonez-Apraez, Antonio Agudo, Francesc Moreno-Noguer +1

Learning controllers that reproduce legged locomotion in nature has been a long-time goal in robotics and computer graphics. While yielding promising results, recent approaches are…

cs.CV2021

Graph Constrained Data Representation Learning for Human Motion Segmentation

Mariella Dimiccoli, Lluís Garrido, Guillem Rodriguez-Corominas +1

Recently, transfer subspace learning based approaches have shown to be a valid alternative to unsupervised subspace clustering and temporal data clustering for human motion segment…

cs.CV2021

Uncertainty-Aware Camera Pose Estimation from Points and Lines

Alexander Vakhitov, Luis Ferraz Colomina, Antonio Agudo +1

Perspective-n-Point-and-Line (PPL) algorithms aim at fast, accurate, and robust camera localization with respect to a 3D model from 2D-3D feature correspondences, being a major…

cs.RO2021★ 1 cited

The Road to a Successful HRI: AI, Trust and ethicS-TRAITS

Antonio Andriella, Alessandra Rossi, Silvia Rossi +1

The aim of this workshop is to give researchers from academia and industry the possibility to discuss the inter-and multi-disciplinary nature of the relationships between people an…

cs.CV2021★ 4 cited

3D Human Pose, Shape and Texture from Low-Resolution Images and Videos

Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer +2

3D human pose and shape estimation from monocular images has been an active research area in computer vision. Existing deep learning methods for this task rely on high-resolution i…