no code implementations • 8 May 2024 • Ivan Bilić, Filip Marić, Fabio Bonsignorio, Ivan Petrović
For autonomous robotics applications, it is crucial that robots are able to accurately measure their potential state and perceive their environment, including other agents within it (e. g., cobots interacting with humans).
no code implementations • 22 Jan 2024 • Vesna Marinković, Tijana Šukilović, Filip Marić
Although there are several systems that successfully generate construction steps for ruler and compass construction problems, none of them provides readable synthetic correctness proofs for generated constructions.
no code implementations • 5 Jan 2023 • Ivan Bilić, Filip Marić, Ivan Marković, Ivan Petrović
Autonomous manipulation systems operating in domains where human intervention is difficult or impossible (e. g., underwater, extraterrestrial or hazardous environments) require a high degree of robustness to sensing and communication failures.
1 code implementation • 18 Aug 2020 • Oliver Limoyo, Bryan Chan, Filip Marić, Brandon Wagstaff, Rupam Mahmood, Jonathan Kelly
Learning or identifying dynamics from a sequence of high-dimensional observations is a difficult challenge in many domains, including reinforcement learning and control.
no code implementations • 8 May 2015 • Mirko Stojadinović, Mladen Nikolić, Filip Marić
However, there is no single solver (nor approach) that performs well on all classes of problems and many portfolio approaches for selecting a suitable solver based on simple syntactic features of the input CSP instance have been developed.