Proceedings of the 12th International Conference on Agents and Artificial Intelligence 2020
DOI: 10.5220/0008984406920699
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Integrating golog++ and ROS for Practical and Portable High-level Control

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“…Temporal logic Probabilistic logic SWI-Prolog (Wielemaker et al 2012) Readylog (Kirsch et al 2020) Clingo (Gebser et al 2019) ROSPlan (Cashmore et al 2015) LTLMoP (Finucane et al 2010) TuLiP (Wongpiromsarn et al 2011a) Problog (De Raedt et al 2007) Distributional Clauses (Gutmann et al 2011) ProbCog (Jain et al 2009) Probabilistic CTL (Rutten et al 2004) Ginesi et al 2019), human-robot interaction (Lemaignan et al 2010;Bruno et al 2017) and complex industrial (Diab et al 2019) and domestic (Tenorth and Beetz 2013) scenarios. Description logic offers high expressivity, allowing to reason on sub-classes, properties and more complex relations between entities of the knowledge base.…”
Section: Standard Logicmentioning
confidence: 99%
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“…Temporal logic Probabilistic logic SWI-Prolog (Wielemaker et al 2012) Readylog (Kirsch et al 2020) Clingo (Gebser et al 2019) ROSPlan (Cashmore et al 2015) LTLMoP (Finucane et al 2010) TuLiP (Wongpiromsarn et al 2011a) Problog (De Raedt et al 2007) Distributional Clauses (Gutmann et al 2011) ProbCog (Jain et al 2009) Probabilistic CTL (Rutten et al 2004) Ginesi et al 2019), human-robot interaction (Lemaignan et al 2010;Bruno et al 2017) and complex industrial (Diab et al 2019) and domestic (Tenorth and Beetz 2013) scenarios. Description logic offers high expressivity, allowing to reason on sub-classes, properties and more complex relations between entities of the knowledge base.…”
Section: Standard Logicmentioning
confidence: 99%
“…These features have increased the appeal of Prolog in many challenging robotic scenarios. Relevant are the many Prolog-based implementations of the Golog action language (Levesque et al 1997), such as in Janssen et al (2016) for multi-robot hierarchical task planning in the context of RoboEarth project (Waibel et al 2011); Kirsch et al (2020), where a useful integration of the Golog dialect Readylog with ROS is proposed through C++ bindings (Golog++ by Mataré et al (2018)), with an application to the Pepper service robot; Gierse et al (2016), where INTRGOLOG is presented to implement task interruption and resumption in reaction to anomalous events; Schiffer et al (2012), where Readylog is used for task planning in domestic scenario with Caesar robot; Farinelli et al (2007), where TEAMGOLOG is used for multi-robot coordination in a search-and-rescue application under partial observability. Among main implementations of Prolog, also SWI-Prolog (Wielemaker et al 2012) shall be mentioned, which implements constructs for optimal query answering and plan generation under the paradigm of preference reasoning (Brewka et al 2008) and has been used, e.g., in the Tartarus framework for the integration and coordination of multiple robots in cyber-physical systems (Semwal et al 2015); Muñoz-Hernandez and Wiguna (2007), where Fuzzy Prolog is used to deal with missing information in real-time robotic soccer; Javia and Cimiano (2017), where multi-robot coordination for domestic activities is implemented in Prolog; Xu et al (2014), where an efficient software integration between qualitative Prolog calculus and quantitative C++ processing is implemented for robotic assistance to elderly and disabled people; Pineda et al (2013), which proposes Sit-Log, a Prolog-based planner for service robotic tasks in domestic scenario, in the context of RoboCup@Home international competition; Nevlyudov et al (2008); Fakhruldeen et al (2016) for robotic assembly in industry.…”
Section: Prolog-based Plannersmentioning
confidence: 99%