Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Urain, J. & Peters, J. (2019) Abstract A similarity distance measure between two trajectories is an essential tool to understand patterns in motion, for example, in Human-Robot Interaction or Imitation Learning. The problem has been faced in many fields, from Signal Processing, Probabilistic Theory…
In: Vallati M., Kitchin D. (eds) Knowledge Engineering Tools and Techniques for AI Planning. Springer, Nature Orlandini A., Cialdea Mayer M., Umbrico A., Cesta A. (2020) Abstract During the last decade, industrial collaborative robots have entered assembly cells supporting human workers in repetitive and physical demanding operations. Such human-robot collaboration (HRC) scenarios entail many open issues. The deployment of highly flexible and adaptive plan-based controllers is capable…
Abstract presented at RO-MAN 2019 Viola, C., Orlandini, A., Umbrico, A. & Cesta, A. (2019). Abstract This paper presents a novel comprehensive framework called ROS-TiPlEx (Timeline-based Planning and Execution with ROS) to provide a shared environment in which experts in robotics and planning can easily interact to, respectively, encode information about low-level robot control and define task planning and…
Theoretical Computer Science. 815 Gigante, N., Montanari, A. (University of Udine), Orlandini, A. (CNR-ISTC), Cialdea Mayer, M. (University of Roma Tre), Reynolds, M. (The University of Western Australia) (2020) Abstract In timeline-based planning, domains are described as sets of independent, but interacting, components, whose behaviour over time (the set of timelines) is governed by a set of temporal constraints.…
Proceedings of the 1st Workshop on Artificial Intelligence and Formal Verification, Logics, Automata and Synthesis, Rende, Italy, November 19–20, 2019. Lanzilli Annarita; Cialdea Mayer Marta (ROMA TRE University, Rome, Italy); Cesta Amedeo; Orlandini Andrea; Umbrico Alessandro (ISTC-CNR, Rome, Italy) Abstract Timeline-based Planning and Scheduling (P&S) usually deals with two main sources of uncertainty: some components may depend on an external environment and…
