activity
20182021
most citedA Riemannian Metric for Geometry-Aware Singularity Avoidance by Articulated Robots

20 citations · 22 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2021

Feature-based Event Stereo Visual Odometry

Antea Hadviger, Igor Cvišić, Ivan Marković +2

Event-based cameras are biologically inspired sensors that output events, i.e., asynchronous pixel-wise brightness changes in the scene. Their high dynamic range and temporal resol…

cs.RO2021★ 20 cited

A Riemannian Metric for Geometry-Aware Singularity Avoidance by Articulated Robots

Filip Marić, Luka Petrović, Marko Guberina +2

Articulated robots such as manipulators increasingly must operate in uncertain and dynamic environments where interaction (with human coworkers, for example) is necessary. In these…

cs.RO2021

Ensemble of LSTMs and feature selection for human action prediction

Tomislav Petković, Luka Petrović, Ivan Marković +1

As robots are becoming more and more ubiquitous in human environments, it will be necessary for robotic systems to better understand and predict human actions. However, this is not…

cs.RO2020

Inverse Kinematics as Low-Rank Euclidean Distance Matrix Completion

Filip Marić, Matthew Giamou, Ivan Petrović +1

The majority of inverse kinematics (IK) algorithms search for solutions in a configuration space defined by joint angles. However, the kinematics of many robots can also be describ…

cs.RO2018★ 2 cited

Manipulability Maximization Using Continuous-Time Gaussian Processes

Filip Marić, Oliver Limoyo, Luka Petrović +2

A significant challenge in motion planning is to avoid being in or near \emph{singular configurations} (\textit{singularities}), that is, joint configurations that result in the lo…