20 citations · 38 across the 6 of their papers we have counts for
5 papers · 1 filter
A Distance-Geometric Method for Recovering Robot Joint Angles From an RGB Image
Ivan Bilić, Filip Marić, Ivan Marković +1
Autonomous manipulation systems operating in domains where human intervention is difficult or impossible (e.g., underwater, extraterrestrial or hazardous environments) require a hi…
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…
Heteroscedastic Uncertainty for Robust Generative Latent Dynamics
Oliver Limoyo, Bryan Chan, Filip Marić +3
Learning or identifying dynamics from a sequence of high-dimensional observations is a difficult challenge in many domains, including reinforcement learning and control. The proble…
Fighting Failures with FIRE: Failure Identification to Reduce Expert Burden in Intervention-Based Learning
Trevor Ablett, Filip Marić, Jonathan Kelly
Supervised imitation learning, also known as behavioral cloning, suffers from distribution drift leading to failures during policy execution. One approach to mitigate this issue is…
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…