10 citations · 10 across the 1 of their papers we have counts for
5 papers
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…