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

410 citations

Showing 2020Show all

9 papers · 1 filter

cs.RO2020★ 56 cited

Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps

Jens Lundell, Enric Corona, Tran Nguyen Le +5

While there exists many methods for manipulating rigid objects with parallel-jaw grippers, grasping with multi-finger robotic hands remains a quite unexplored research topic. Reaso…

cs.AI2020★ 2 cited

Online Action Recognition

Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras +1

Recognition in planning seeks to find agent intentions, goals or activities given a set of observations and a knowledge library (e.g. goal states, plans or domain theories). In thi…

eess.SY2020★ 1 cited

Chance-constrained Stochastic MPC of Astlingen Urban Drainage Benchmark Network

Jan Lorenz Svensen, Congcong Sun, Gabriela Cembrano +1

In urban drainage systems (UDS), a proven method for reducing the combined sewer overflow (CSO) pollution is real-time control (RTC) based on model predictive control (MPC). MPC me…

cs.RO2020★ 22 cited

Task-Adaptive Robot Learning from Demonstration with Gaussian Process Models under Replication

Miguel Arduengo, Adrià Colomé, Júlia Borràs +2

Learning from Demonstration (LfD) is a paradigm that allows robots to learn complex manipulation tasks that can not be easily scripted, but can be demonstrated by a human teacher.…

cs.CV2020★ 4 cited

3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning

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

3D human shape and pose estimation from monocular images has been an active area of research in computer vision, having a substantial impact on the development of new applications,…

eess.SY2020

Online Network-Constrained Dispatch of Distributed Generators in Radial Networks

Hazem A. Abdelghany, Carlos Ocampo-Martinez, Nicanor Quijano

High penetration of distributed generation will be characteristic to future distribution networks. The dynamic, intermittent, uncertain and deregulated nature of distributed genera…

cs.RO2020

Multi-task closed-loop inverse kinematics stability through semidefinite programming

Josep Marti-Saumell, Angel Santamaria-Navarro, Carlos Ocampo-Martinez +1

Today's complex robotic designs comprise in some cases a large number of degrees of freedom, enabling for multi-objective task resolution (e.g., humanoid robots or aerial manipulat…

eess.SY2020★ 19 cited

Fault Handling in Large Water Networks with Online Dictionary Learning

Paul Irofti, Florin Stoican, Vicenç Puig

Fault detection and isolation in water distribution networks is an active topic due to its model's mathematical complexity and increased data availability through sensor placement.…

cs.RO2020★ 18 cited

Gaussian-Process-based Robot Learning from Demonstration

Miguel Arduengo, Adrià Colomé, Joan Lobo-Prat +2

Endowed with higher levels of autonomy, robots are required to perform increasingly complex manipulation tasks. Learning from demonstration is arising as a promising paradigm for t…