742 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ZagrebHR134 papers
- Ruđer Bošković InstituteHR46 papers
- ETH ZurichCH39 papers
- National Institute for AstrophysicsIT38 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di TriesteIT37 papers
- The University of TokyoJP37 papers
- University of RijekaHR37 papers
- Deutsches Elektronen-Synchrotron DESYDE36 papers
- Institute for High Energy PhysicsES36 papers
- Instituto de Astrofísica de CanariasES36 papers
- Kyoto UniversityJP36 papers
- Max Planck Institute for PhysicsDE36 papers
6 papers · 1 filter
Inverse Kinematics for Serial Kinematic Chains via Sum of Squares Optimization
Filip Maric, Matthew Giamou, Soroush Khoubyarian +2
Inverse kinematics is a fundamental problem for articulated robots: fast and accurate algorithms are needed for translating task-related workspace constraints and goals into feasib…
Human Intention Estimation based on Hidden Markov Model Motion Validation for Safe Flexible Robotized Warehouses
Tomislav Petković, David Puljiz, Ivan Marković +1
With the substantial growth of logistics businesses the need for larger warehouses and their automation arises, thus using robots as assistants to human workers is becoming a prior…
Robust Gesture-Based Communication for Underwater Human-Robot Interaction in the context of Search and Rescue Diver Missions
Arturo Gomez Chavez, Christian A. Mueller, Tobias Doernbach +2
We propose a robust gesture-based communication pipeline for divers to instruct an Autonomous Underwater Vehicle (AUV) to assist them in performing high-risk tasks and helping in c…
Computationally efficient dense moving object detection based on reduced space disparity estimation
Goran Popović, Antea Hadviger, Ivan Marković +1
Computationally efficient moving object detection and depth estimation from a stereo camera is an extremely useful tool for many computer vision applications, including robotics an…
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…