no code implementations • 22 Sep 2020 • Basem Atiq, Volkan Patoglu, Esra Erdem
We study a dynamic version of multi-agent path finding problem (called D-MAPF) where existing agents may leave and new agents may join the team at different times.
no code implementations • 8 Aug 2020 • Momina Rizwan, Volkan Patoglu, Esra Erdem
We propose a novel method for collaborative assembly planning under uncertainty, that utilizes hybrid conditional planning extended with commonsense reasoning and a rich set of communication actions for collaborative tasks.
no code implementations • 20 Jun 2019 • Abdul Rahman Dabbour, Esra Erdem, Volkan Patoglu
For planning rearrangements of objects in a clutter, it is required to know the goal configuration of the objects.
no code implementations • 2 Mar 2019 • Faseeh Ahmad, Esra Erdem, Volkan Patoglu
This framework not only decides for a stable final configuration of the structure, but also computes the order of manipulation tasks for multiple autonomous robots to build the structure from an initial configuration, while simultaneously ensuring the stability, supportedness and other desired properties of the partial construction at each step of the plan.
no code implementations • 19 Jul 2017 • Ibrahim Faruk Yalciner, Ahmed Nouman, Volkan Patoglu, Esra Erdem
We introduce a parallel offline algorithm for computing hybrid conditional plans, called HCP-ASP, oriented towards robotics applications.
no code implementations • 29 Jul 2013 • Zeynep Dogmus, Esra Erdem, Volkan Patoglu
enables robotic researchers to describe robots' actions and change in dynamic domains, without having to know about the syntactic and semantic details of the underlying formalism in advance, and solve planning problems using state-of-the-art automated reasoners, without having to learn about their input/output language or usage.
no code implementations • 29 Jul 2013 • Damien Jade Duff, Esra Erdem, Volkan Patoglu
We investigate different approaches to integrating object recognition and planning in a tabletop manipulation domain with the set of objects used in the 2012 RoboCup@Work competition.
no code implementations • 29 Jul 2013 • Esra Erdem, Volkan Patoglu, Peter Schüller
We provide a systematic analysis of levels of integration between discrete high-level reasoning and continuous low-level reasoning to address hybrid planning problems in robotics.