18 citations · 35 across the 6 of their papers we have counts for
9 papers
Fast Coordinated Bimanual Motion Planning With Hard Constraints
Borna Paro, Luka Petrović, Ivan Marković
Bimanual manipulation enables complex tasks but introduces added complexity from the high number of degrees of freedom involved. When handling rigid objects, the relative transform…
Radar-Inertial Odometry with Online Spatio-Temporal Calibration via Continuous-Time IMU Modeling
Vlaho-Josip Štironja, Luka Petrović, Juraj Peršić +2
Radar-Inertial Odometry (RIO) has emerged as a robust alternative to vision- and LiDAR-based odometry in challenging conditions such as low light, fog, featureless environments, or…
Impact of Temporal Delay on Radar-Inertial Odometry
Vlaho-Josip Štironja, Luka Petrović, Juraj Peršić +2
Accurate ego-motion estimation is a critical component of any autonomous system. Conventional ego-motion sensors, such as cameras and LiDARs, may be compromised in adverse environm…
GVDepth: Zero-Shot Monocular Depth Estimation for Ground Vehicles based on Probabilistic Cue Fusion
Karlo Koledić, Luka Petrović, Ivan Marković +1
Generalizing metric monocular depth estimation presents a significant challenge due to its ill-posed nature, while the entanglement between camera parameters and depth amplifies is…
Fast Manipulability Maximization Using Continuous-Time Trajectory Optimization
Filip Marić, Oliver Limoyo, Luka Petrović +3
A significant challenge in manipulation motion planning is to ensure agility in the face of unpredictable changes during task execution. This requires the identification and possib…
Stochastic Optimization for Trajectory Planning with Heteroscedastic Gaussian Processes
Luka Petrović, Juraj Peršić, Marija Seder +1
Trajectory optimization methods for motion planning attempt to generate trajectories that minimize a suitable objective function. Such methods efficiently find solutions even for h…
Spatio-Temporal Multisensor Calibration Based on Gaussian Processes Moving Object Tracking
Juraj Peršić, Luka Petrović, Ivan Marković +1
Perception is one of the key abilities of autonomous mobile robotic systems, which often relies on fusion of heterogeneous sensors. Although this heterogeneity presents a challenge…
Motion planning in high-dimensional spaces
Luka Petrović
Motion planning is a key tool that allows robots to navigate through an environment without collisions. The problem of robot motion planning has been studied in great detail over t…
Multi-agent Gaussian Process Motion Planning via Probabilistic Inference
Luka Petrović, Ivan Marković, Marija Seder
This paper deals with motion planning for multiple agents by representing the problem as a simultaneous optimization of every agent's trajectory. Each trajectory is considered as a…