1. Reinhard Gerndt, Daniel Seifert, Jacky Baltes Soroush Sadeghnejad, and Sven Behnke. Humanoid Robots in Soccer - Robots Versus Humans in RoboCup 2050. IEEE-RAS Robotics and Automation Magazine, 22(3):147-154, September 2015.
   

   @article{GerndtBaltesRAM15,
   author = {Reinhard Gerndt and Daniel Seifert and Jacky Baltes Soroush Sadeghnejad and Sven Behnke},
   title = {Humanoid Robots in Soccer - Robots Versus Humans in RoboCup 2050},
   journal = {IEEE-RAS Robotics and Automation Magazine},
   year = {2015},
   month = {September},
   pages = {147--154},
   volume = {22},
   number = {3},
   pdf = {http://aalab.cs.umanitoba.ca/%7eandersj/Publications/pdf/GerndtBaltesRAM15.pdf} 
   }
   




2. Tyler Gunn and John Anderson. Dynamic Heterogeneous Team Formation for Robotic Urban Search and Rescue. Journal of Computer and System Sciences, 81(3):553-567, May 2015. Abstract:

   Much work on coalition formation and maintenance exists from the standpoint of abstract agents. This has not yet translated well to robot teams, however: most multi-robot research has focused on pre-formed teams, with little attention to team formation and maintenance. This means solutions fail in challenging environments where equipment is easily lost, such as urban search and rescue. This paper describes a framework for coordinating a changing collection of heterogeneous robots in complex and dynamic environments such as disaster zones. The framework allows a team to reshape to compensate for lost or failed robots, including adding newly-encountered robots or additions from other teams, and also allows new teams to be formed dynamically. The framework also includes provisions for task discovery and assignment, under the conditions of changing team membership. We evaluate this framework through an implementation where robots perform exploration in order to locate victims in a simulated disaster environment.

   
   

   @article{GunnAndersonJCSS15,
   author = {Tyler Gunn and John Anderson},
   title = {Dynamic Heterogeneous Team Formation for Robotic Urban Search and Rescue},
   journal = {Journal of Computer and System Sciences},
   year = {2015},
   month = {May},
   volume = {81},
   number = {3},
   pages = {553--567},
   pdf = {http://aalab.cs.umanitoba.ca/%7eandersj/Publications/pdf/GunnAndersonJCSS15.pdf},
   abstract = { Much work on coalition formation and maintenance exists from the standpoint of abstract agents. This has not yet translated well to robot teams, however: most multi-robot research has focused on pre-formed teams, with little attention to team formation and maintenance. This means solutions fail in challenging environments where equipment is easily lost, such as urban search and rescue. This paper describes a framework for coordinating a changing collection of heterogeneous robots in complex and dynamic environments such as disaster zones. The framework allows a team to reshape to compensate for lost or failed robots, including adding newly-encountered robots or additions from other teams, and also allows new teams to be formed dynamically. The framework also includes provisions for task discovery and assignment, under the conditions of changing team membership. We evaluate this framework through an implementation where robots perform exploration in order to locate victims in a simulated disaster environment.
   
   } 
   }
   

1. Teng-Wei Huang, Chen-Chien Hsu, Wei-Yen Wang, and Jacky Baltes. ROSLAM - A Faster Algorithm for Simultaneous Localization and Mapping (SLAM). In Proceedings of the 4th International Conference on Robot Intelligence Technology and Applications (RITA 2015), Bucheon, Korea, December 2015.
   

   @inproceedings{BaltesROSLAM,
   author = {Teng-Wei Huang and Chen-Chien Hsu and Wei-Yen Wang and Jacky Baltes},
   title = {ROSLAM - A Faster Algorithm for Simultaneous Localization and Mapping (SLAM)},
   booktitle = {Proceedings of the 4th International Conference on Robot Intelligence Technology and Applications (RITA 2015)},
   year = {2015},
   month = {December},
   address = {Bucheon, Korea} 
   }
   




2. Farzam Janati, Farzaneh Abdollahi, Saeed Shiry Ghidary, Masoumeh Jannatifar, Jacky Baltes, and Soroush Sadeghnejad. Multi-Robot Task Allocation Using Clustering Method. In Proceedings of the 4th International Conference on Robot Intelligence Technology and Applications (RITA 2015), Bucheon, Korea, December 2015.
   

   @inproceedings{JanatiBaltes15,
   author = {Farzam Janati and Farzaneh Abdollahi and Saeed Shiry Ghidary and Masoumeh Jannatifar and Jacky Baltes and Soroush Sadeghnejad},
   title = {Multi-Robot Task Allocation Using Clustering Method},
   booktitle = {Proceedings of the 4th International Conference on Robot Intelligence Technology and Applications (RITA 2015)},
   year = {2015},
   month = {December},
   address = {Bucheon, Korea} 
   }
   




3. Da-Wei Kung, Chen-Chien Hsu, Wei-Yen Wang, and Jacky Baltes. Adaptive Computation Algorithm for Simultaneous Localization and Mapping (SLAM). In Proceedings of the 4th International Conference on Robot Intelligence Technology and Applications (RITA 2015), Bucheon, Korea, December 2015.
   

   @inproceedings{KungBaltes15,
   author = {Da-Wei Kung and Chen-Chien Hsu and Wei-Yen Wang and Jacky Baltes},
   title = {Adaptive Computation Algorithm for Simultaneous Localization and Mapping (SLAM)},
   booktitle = {Proceedings of the 4th International Conference on Robot Intelligence Technology and Applications (RITA 2015)},
   year = {2015},
   month = {December},
   address = {Bucheon, Korea} 
   }
   




4. Geoff Nagy, James Young, and John Anderson. Are Tangibles Really Better?: Keyboard and Joystick Outperform TUIs for Remote Robotic Locomotion Control. In Proceedings of the 10th Annual ACM/IEEE International Conference on Human-Robot Interaction, Portland, OR, pages 41-42, March 2015. Abstract:

   Prior work has suggested that tangible user interfaces (TUIs) may be more natural and easier to learn than conventional interfaces. We present study results that suggest an opposite effect: we found user performance, satisfaction, and ease of use to be higher with more common-place input methods (keyboard and joystick) than two novel TUIs.

   
   

   @inproceedings{NagyHRI15,
   author = {Geoff Nagy and James Young and John Anderson},
   title = {Are Tangibles Really Better?: Keyboard and Joystick Outperform TUIs for Remote Robotic Locomotion Control},
   booktitle = {Proceedings of the 10th Annual ACM/IEEE International Conference on Human-Robot Interaction},
   address = {Portland, OR},
   month = {March},
   pages = {41--42},
   pdf = {http://aalab.cs.umanitoba.ca/%7eandersj/Publications/pdf/NagyHRI15.pdf},
   year = {2015},
   abstract = {Prior work has suggested that tangible user interfaces (TUIs) may be more natural and easier to learn than conventional interfaces. We present study results that suggest an opposite effect: we found user performance, satisfaction, and ease of use to be higher with more common-place input methods (keyboard and joystick) than two novel TUIs. } 
   }
   




5. Soroush Sadeghnejad, Ehsan Abdollahi, Sepehr Ramezani, and Jacky Baltes. Zero Moment Point Control of a Biped Robot Using Feedback Linearization. In Proceedings of the 4th International Conference on Robot Intelligence Technology and Applications (RITA 2015), Bucheon, Korea, December 2015.
   

   @inproceedings{SouroshBaltes15,
   author = {Soroush Sadeghnejad and Ehsan Abdollahi and Sepehr Ramezani and Jacky Baltes},
   title = {Zero Moment Point Control of a Biped Robot Using Feedback Linearization},
   booktitle = {Proceedings of the 4th International Conference on Robot Intelligence Technology and Applications (RITA 2015)},
   year = {2015},
   month = {December},
   address = {Bucheon, Korea} 
   }
   




6. Taher Abbas Shangari, Faraz Shamshirdar, Bita Azari, Mohammadhossein Heydari, Sourosh Sadeghnejad, and Jacky Baltes. Real-time Ball Detection and Following Based on a Hybrid Vision System with Application to Robot Soccer Field. In Proceedings of the 5th International Conference on Advanced Humanoid Robotics Research (ICAHRR 2015), Daejon, Korea, December 2015.
   

   @inproceedings{AbbasBaltes15,
   author = {Taher Abbas Shangari and Faraz Shamshirdar and Bita Azari and Mohammadhossein Heydari and Sourosh Sadeghnejad and Jacky Baltes},
   title = {Real-time Ball Detection and Following Based on a Hybrid Vision System with Application to Robot Soccer Field},
   booktitle = {Proceedings of the 5th International Conference on Advanced Humanoid Robotics Research (ICAHRR 2015)},
   year = {2015},
   month = {December},
   address = {Daejon, Korea} 
   }
   

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