A Scenario-based MDE Process for Developing Reactive Systems: A Cleaning Robot Example. - Joel Greenyer; Daniel Gritzner; Jianwei Shi 001; Eric Wete (MoDELS (Satellite Events), 2017)

From scenario modeling to scenario programming for reactive systems with dynamic topology. - Joel Greenyer; Daniel Gritzner; Florian König; Jannik Dahlke; Jianwei Shi 001; Eric Wete (ESEC/SIGSOFT FSE, 2017)

A Scenario-Based MDE Process for Dynamic Topology Collaborative Reactive Systems - Early Virtual Prototyping of Car-to-X System Specifications. - Joel Greenyer; Larissa Chazette; Daniel Gritzner; Eric Wete (Modellierung (Workshops), 2018)

Monte Carlo Tree Search and GR(1) Synthesis for Robot Tasks Planning in Automotive Production Lines. - Eric Wete; Joel Greenyer; Andreas Wortmann 001; Oliver Flegel; Martin Klein 009 (MoDELS, 2021)

A tool for the automation of efficient multi-robot choreography planning and execution. - Eric Wete; Joel Greenyer; Daniel Kudenko; Wolfgang Nejdl; Oliver Flegel; Dennes Eisner (MoDELS (Companion), 2022)

MDE and Learning for flexible Planning and optimized Execution of Multi-Robot Choreographies. - Eric Wete; Joel Greenyer; Andreas Wortmann 001; Daniel Kudenko; Wolfgang Nejdl (ETFA, 2023)

Multi-Robot Motion and Task Planning in Automotive Production Using Controller-based Safe Reinforcement Learning. - Eric Wete; Joel Greenyer; Daniel Kudenko; Wolfgang Nejdl (AAMAS, 2024)