activity
20222024
most citedGenerative Graphical Inverse Kinematics

13 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024★ 1 cited

RAVE: A Framework for Radar Ego-Velocity Estimation

Vlaho-Josip Štironja, Luka Petrović, Juraj Peršić +2

State estimation is an essential component of autonomous systems, usually relying on sensor fusion that integrates data from cameras, LiDARs and IMUs. Recently, radars have shown t…

cs.RO2024

GISR: Geometric Initialization and Silhouette-based Refinement for Single-View Robot Pose and Configuration Estimation

Ivan Bilić, Filip Marić, Fabio Bonsignorio +1

In autonomous robotics, measurement of the robot's internal state and perception of its environment, including interaction with other agents such as collaborative robots, are essen…

cs.CV2023

GenDepth: Generalizing Monocular Depth Estimation for Arbitrary Camera Parameters via Ground Plane Embedding

Karlo Koledić, Luka Petrović, Ivan Petrović +1

Learning-based monocular depth estimation leverages geometric priors present in the training data to enable metric depth perception from a single image, a traditionally ill-posed p…

cs.RO2023

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…

cs.RO2022★ 13 cited

Generative Graphical Inverse Kinematics

Oliver Limoyo, Filip Marić, Matthew Giamou +3

Quickly and reliably finding accurate inverse kinematics (IK) solutions remains a challenging problem for many robot manipulators. Existing numerical solvers are broadly applicable…