[{"_id":"57224","department":[{"_id":"50"}],"user_id":"15357","language":[{"iso":"eng"}],"publication":"Robotics and Autonomous Systems","type":"journal_article","status":"public","date_updated":"2025-01-22T15:39:05Z","publisher":"Elsevier BV","volume":103,"author":[{"full_name":"Mujahed, Muhannad","last_name":"Mujahed","first_name":"Muhannad"},{"id":"15357","full_name":"Fischer, Dirk","orcid":"0000-0002-0792-6370","last_name":"Fischer","first_name":"Dirk"},{"last_name":"Mertsching","full_name":"Mertsching, Bärbel","first_name":"Bärbel"}],"date_created":"2024-11-19T10:39:56Z","title":"Admissible gap navigation: A new collision avoidance approach","doi":"10.1016/j.robot.2018.02.008","publication_identifier":{"issn":["0921-8890"]},"publication_status":"published","year":"2018","page":"93-110","intvolume":"       103","citation":{"chicago":"Mujahed, Muhannad, Dirk Fischer, and Bärbel Mertsching. “Admissible Gap Navigation: A New Collision Avoidance Approach.” <i>Robotics and Autonomous Systems</i> 103 (2018): 93–110. <a href=\"https://doi.org/10.1016/j.robot.2018.02.008\">https://doi.org/10.1016/j.robot.2018.02.008</a>.","ieee":"M. Mujahed, D. Fischer, and B. Mertsching, “Admissible gap navigation: A new collision avoidance approach,” <i>Robotics and Autonomous Systems</i>, vol. 103, pp. 93–110, 2018, doi: <a href=\"https://doi.org/10.1016/j.robot.2018.02.008\">10.1016/j.robot.2018.02.008</a>.","ama":"Mujahed M, Fischer D, Mertsching B. Admissible gap navigation: A new collision avoidance approach. <i>Robotics and Autonomous Systems</i>. 2018;103:93-110. doi:<a href=\"https://doi.org/10.1016/j.robot.2018.02.008\">10.1016/j.robot.2018.02.008</a>","apa":"Mujahed, M., Fischer, D., &#38; Mertsching, B. (2018). Admissible gap navigation: A new collision avoidance approach. <i>Robotics and Autonomous Systems</i>, <i>103</i>, 93–110. <a href=\"https://doi.org/10.1016/j.robot.2018.02.008\">https://doi.org/10.1016/j.robot.2018.02.008</a>","short":"M. Mujahed, D. Fischer, B. Mertsching, Robotics and Autonomous Systems 103 (2018) 93–110.","bibtex":"@article{Mujahed_Fischer_Mertsching_2018, title={Admissible gap navigation: A new collision avoidance approach}, volume={103}, DOI={<a href=\"https://doi.org/10.1016/j.robot.2018.02.008\">10.1016/j.robot.2018.02.008</a>}, journal={Robotics and Autonomous Systems}, publisher={Elsevier BV}, author={Mujahed, Muhannad and Fischer, Dirk and Mertsching, Bärbel}, year={2018}, pages={93–110} }","mla":"Mujahed, Muhannad, et al. “Admissible Gap Navigation: A New Collision Avoidance Approach.” <i>Robotics and Autonomous Systems</i>, vol. 103, Elsevier BV, 2018, pp. 93–110, doi:<a href=\"https://doi.org/10.1016/j.robot.2018.02.008\">10.1016/j.robot.2018.02.008</a>."}},{"publication":"Robotics and Autonomous Systems","type":"journal_article","status":"public","department":[{"_id":"50"}],"user_id":"15357","_id":"57226","language":[{"iso":"eng"}],"publication_identifier":{"issn":["0921-8890"]},"publication_status":"published","page":"15-30","intvolume":"        84","citation":{"chicago":"Mujahed, Muhannad, Dirk Fischer, and Bärbel Mertsching. “Tangential Gap Flow (TGF) Navigation: A New Reactive Obstacle Avoidance Approach for Highly Cluttered Environments.” <i>Robotics and Autonomous Systems</i> 84 (2016): 15–30. <a href=\"https://doi.org/10.1016/j.robot.2016.07.001\">https://doi.org/10.1016/j.robot.2016.07.001</a>.","ieee":"M. Mujahed, D. Fischer, and B. Mertsching, “Tangential Gap Flow (TGF) navigation: A new reactive obstacle avoidance approach for highly cluttered environments,” <i>Robotics and Autonomous Systems</i>, vol. 84, pp. 15–30, 2016, doi: <a href=\"https://doi.org/10.1016/j.robot.2016.07.001\">10.1016/j.robot.2016.07.001</a>.","ama":"Mujahed M, Fischer D, Mertsching B. Tangential Gap Flow (TGF) navigation: A new reactive obstacle avoidance approach for highly cluttered environments. <i>Robotics and Autonomous Systems</i>. 2016;84:15-30. doi:<a href=\"https://doi.org/10.1016/j.robot.2016.07.001\">10.1016/j.robot.2016.07.001</a>","bibtex":"@article{Mujahed_Fischer_Mertsching_2016, title={Tangential Gap Flow (TGF) navigation: A new reactive obstacle avoidance approach for highly cluttered environments}, volume={84}, DOI={<a href=\"https://doi.org/10.1016/j.robot.2016.07.001\">10.1016/j.robot.2016.07.001</a>}, journal={Robotics and Autonomous Systems}, publisher={Elsevier BV}, author={Mujahed, Muhannad and Fischer, Dirk and Mertsching, Bärbel}, year={2016}, pages={15–30} }","mla":"Mujahed, Muhannad, et al. “Tangential Gap Flow (TGF) Navigation: A New Reactive Obstacle Avoidance Approach for Highly Cluttered Environments.” <i>Robotics and Autonomous Systems</i>, vol. 84, Elsevier BV, 2016, pp. 15–30, doi:<a href=\"https://doi.org/10.1016/j.robot.2016.07.001\">10.1016/j.robot.2016.07.001</a>.","short":"M. Mujahed, D. Fischer, B. Mertsching, Robotics and Autonomous Systems 84 (2016) 15–30.","apa":"Mujahed, M., Fischer, D., &#38; Mertsching, B. (2016). Tangential Gap Flow (TGF) navigation: A new reactive obstacle avoidance approach for highly cluttered environments. <i>Robotics and Autonomous Systems</i>, <i>84</i>, 15–30. <a href=\"https://doi.org/10.1016/j.robot.2016.07.001\">https://doi.org/10.1016/j.robot.2016.07.001</a>"},"year":"2016","volume":84,"date_created":"2024-11-19T10:45:23Z","author":[{"first_name":"Muhannad","last_name":"Mujahed","full_name":"Mujahed, Muhannad"},{"orcid":"0000-0002-0792-6370","last_name":"Fischer","id":"15357","full_name":"Fischer, Dirk","first_name":"Dirk"},{"full_name":"Mertsching, Bärbel","last_name":"Mertsching","first_name":"Bärbel"}],"publisher":"Elsevier BV","date_updated":"2025-01-22T15:37:06Z","doi":"10.1016/j.robot.2016.07.001","title":"Tangential Gap Flow (TGF) navigation: A new reactive obstacle avoidance approach for highly cluttered environments"},{"page":"913-921","intvolume":"         6","citation":{"ama":"Schmickl T, Hamann H, Wörn H, Crailsheim K. Two different approaches to a macroscopic model of a bio-inspired robotic swarm. <i>Robotics and Autonomous Systems</i>. 2009;6(9):913-921. doi:<a href=\"https://doi.org/10.1016/j.robot.2009.06.002\">10.1016/j.robot.2009.06.002</a>","ieee":"T. Schmickl, H. Hamann, H. Wörn, and K. Crailsheim, “Two different approaches to a macroscopic model of a bio-inspired robotic swarm,” <i>Robotics and Autonomous Systems</i>, vol. 6, no. 9, pp. 913–921, 2009.","chicago":"Schmickl, Thomas, Heiko Hamann, Heinz Wörn, and Karl Crailsheim. “Two Different Approaches to a Macroscopic Model of a Bio-Inspired Robotic Swarm.” <i>Robotics and Autonomous Systems</i> 6, no. 9 (2009): 913–21. <a href=\"https://doi.org/10.1016/j.robot.2009.06.002\">https://doi.org/10.1016/j.robot.2009.06.002</a>.","bibtex":"@article{Schmickl_Hamann_Wörn_Crailsheim_2009, title={Two different approaches to a macroscopic model of a bio-inspired robotic swarm}, volume={6}, DOI={<a href=\"https://doi.org/10.1016/j.robot.2009.06.002\">10.1016/j.robot.2009.06.002</a>}, number={9}, journal={Robotics and Autonomous Systems}, author={Schmickl, Thomas and Hamann, Heiko and Wörn, Heinz and Crailsheim, Karl}, year={2009}, pages={913–921} }","mla":"Schmickl, Thomas, et al. “Two Different Approaches to a Macroscopic Model of a Bio-Inspired Robotic Swarm.” <i>Robotics and Autonomous Systems</i>, vol. 6, no. 9, 2009, pp. 913–21, doi:<a href=\"https://doi.org/10.1016/j.robot.2009.06.002\">10.1016/j.robot.2009.06.002</a>.","short":"T. Schmickl, H. Hamann, H. Wörn, K. Crailsheim, Robotics and Autonomous Systems 6 (2009) 913–921.","apa":"Schmickl, T., Hamann, H., Wörn, H., &#38; Crailsheim, K. (2009). Two different approaches to a macroscopic model of a bio-inspired robotic swarm. <i>Robotics and Autonomous Systems</i>, <i>6</i>(9), 913–921. <a href=\"https://doi.org/10.1016/j.robot.2009.06.002\">https://doi.org/10.1016/j.robot.2009.06.002</a>"},"publication_identifier":{"issn":["0921-8890"]},"publication_status":"published","doi":"10.1016/j.robot.2009.06.002","volume":6,"author":[{"last_name":"Schmickl","full_name":"Schmickl, Thomas","first_name":"Thomas"},{"first_name":"Heiko","last_name":"Hamann","full_name":"Hamann, Heiko"},{"last_name":"Wörn","full_name":"Wörn, Heinz","first_name":"Heinz"},{"last_name":"Crailsheim","full_name":"Crailsheim, Karl","first_name":"Karl"}],"date_updated":"2022-01-06T06:54:25Z","status":"public","type":"journal_article","department":[{"_id":"63"},{"_id":"238"}],"user_id":"15415","_id":"20255","year":"2009","issue":"9","title":"Two different approaches to a macroscopic model of a bio-inspired robotic swarm","date_created":"2020-11-02T14:07:44Z","abstract":[{"lang":"eng","text":"By compiling macroscopic models we analyze the adaptive behavior in a swarm of autonomous robots generated by a bio-inspired, distributed control algorithm. We developed two macroscopic models by taking two different perspectives: A Stock & Flow model, which is simple to implement and fast to simulate, and a spatially resolved model based on diffusion processes. These two models were compared concerning their prediction quality and their analytical power: One model allowed easy identification of the major feedback loops governing the swarm behavior. The other model allowed analysis of the expected shapes and positions of observable robot clusters. We found a high correlation in the challenges posed by both modeling techniques and we highlighted the inherent problems of inferring emergent macroscopic rules from a microscopic description of swarm behavior."}],"publication":"Robotics and Autonomous Systems","language":[{"iso":"eng"}]}]