%0 Journal Article %1 KruijffKorbayovaColasEtAl15ki %A Kruijff-Korbayová, Ivana %A Colas, Francis %A Gianni, Mario %A Pirri, Fiora %A Greeff, Joachim de %A Hindriks, Koen %A Neerincx, Mark %A Ögren, Petter %A Svoboda, Tomás %A Worst, Rainer %D 2015 %J KI -- Künstliche Intelligenz %K v1500 springer paper dfki ai robot user interaction assist %N 2 %P 193--201 %R 10.1007/s13218-015-0352-5 %T TRADR Project: Long-Term Human-Robot Teaming for Robot Assisted Disaster Response %V 29 %X This paper describes the project TRADR: Long-Term Human-Robot Teaming for Robot Assisted Disaster Response. Experience shows that any incident serious enough to require robot involvement will most likely involve a sequence of sorties over several hours, days and even months. TRADR focuses on the challenges that thus arise for the persistence of environment models, multi-robot action models, and human-robot teaming, in order to allow incremental capability improvement over the duration of a mission. TRADR applies a user centric design approach to disaster response robotics, with use cases involving the response to a medium to large scale industrial accident by teams consisting of human rescuers and several robots (both ground and airborne). This paper describes the fundamentals of the project: the motivation, objectives and approach in contrast to related work.

@article{KruijffKorbayovaColasEtAl15ki, abstract = {This paper describes the project TRADR: Long-Term Human-Robot Teaming for Robot Assisted Disaster Response. Experience shows that any incident serious enough to require robot involvement will most likely involve a sequence of sorties over several hours, days and even months. TRADR focuses on the challenges that thus arise for the persistence of environment models, multi-robot action models, and human-robot teaming, in order to allow incremental capability improvement over the duration of a mission. TRADR applies a user centric design approach to disaster response robotics, with use cases involving the response to a medium to large scale industrial accident by teams consisting of human rescuers and several robots (both ground and airborne). This paper describes the fundamentals of the project: the motivation, objectives and approach in contrast to related work.}, added-at = {2015-07-21T17:04:50.000+0200}, author = {Kruijff-Korbayov\'{a}, Ivana and Colas, Francis and Gianni, Mario and Pirri, Fiora and Greeff, Joachim de and Hindriks, Koen and Neerincx, Mark and \"{O}gren, Petter and Svoboda, Tom\'{a}\v{s} and Worst, Rainer}, biburl = {https://www.bibsonomy.org/bibtex/2449f3800718057a3b57e2177e6e54fdf/flint63}, doi = {10.1007/s13218-015-0352-5}, file = {SpringerLink:2015/KruijffKorbayovaColasEtAl15ki.pdf:PDF}, groups = {public}, interhash = {376bfeb1d828b39bebdc171a00d45471}, intrahash = {449f3800718057a3b57e2177e6e54fdf}, issn = {0933-1875}, journal = {KI -- K\"{u}nstliche Intelligenz}, keywords = {v1500 springer paper dfki ai robot user interaction assist}, month = {#jun#}, number = 2, pages = {193--201}, timestamp = {2018-04-16T11:33:38.000+0200}, title = {{TRADR} Project: Long-Term Human-Robot Teaming for Robot Assisted Disaster Response}, username = {flint63}, volume = 29, year = 2015 }