| Combining high-level causal reasoning with low-level geometric reasoning and motion planning for robotic manipulation E Erdem, K Haspalamutgil, C Palaz, V Patoglu, T Uras 2011 IEEE International Conference on Robotics and Automation, 4575-4581, 2011 | 152 | 2011 |
| Multirobot systems H Ma, W Hönig, L Cohen, T Uras, H Xu, TKS Kumar, N Ayanian, S Koenig | 101* | 2017 |
| Subgoal graphs for optimal pathfinding in eight-neighbor grids T Uras, S Koenig, C Hernández Proceedings of the International Conference on Automated Planning and …, 2013 | 60 | 2013 |
| Overview: Generalizations of multi-agent path finding to real-world scenarios H Ma, S Koenig, N Ayanian, L Cohen, W Hönig, TK Kumar, T Uras, H Xu, ... arXiv preprint arXiv:1702.05515, 2017 | 54 | 2017 |
| Feasibility study: Using highways for bounded-suboptimal multi-agent path finding L Cohen, T Uras, S Koenig Eighth Annual Symposium on Combinatorial Search, 2015 | 49 | 2015 |
| An empirical comparison of any-angle path-planning algorithms T Uras, S Koenig Eighth Annual Symposium on Combinatorial Search, 2015 | 45 | 2015 |
| A lattice-based approach to multi-robot motion planning for non-holonomic vehicles M Cirillo, T Uras, S Koenig 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2014 | 44 | 2014 |
| Integrated motion planning and coordination for industrial vehicles M Cirillo, F Pecora, H Andreasson, T Uras, S Koenig Proceedings of the International Conference on Automated Planning and …, 2014 | 44 | 2014 |
| Improved Solvers for Bounded-Suboptimal Multi-Agent Path Finding. L Cohen, T Uras, TKS Kumar, H Xu, N Ayanian, S Koenig IJCAI, 3067-3074, 2016 | 37 | 2016 |
| The grid-based path planning competition NR Sturtevant AI Magazine 35 (3), 66-69, 2014 | 35 | 2014 |
| Causality-based planning and diagnostic reasoning for cognitive factories E Erdem, K Haspalamutgil, V Patoglu, T Uras Proceedings of 2012 IEEE 17th International Conference on Emerging …, 2012 | 23 | 2012 |
| Finding optimal plans for multiple teams of robots through a mediator: A logic-based approach. E Erdem, V Patoglu, ZG Saribatur, P Schüller, T Uras Theory Pract. Log. Program. 13 (4-5), 831-846, 2013 | 22 | 2013 |
| Identifying hierarchies for fast optimal search T Uras, S Koenig Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 20 | 2014 |
| Speeding-up any-angle path-planning on grids T Uras, S Koenig Proceedings of the International Conference on Automated Planning and …, 2015 | 18 | 2015 |
| Incremental ara*: An incremental anytime search algorithm for moving-target search X Sun, W Yeoh, T Uras, S Koenig Proceedings of the International Conference on Automated Planning and …, 2012 | 16 | 2012 |
| Comparing ASP and CP on Four Grid Puzzles. M Celik, H Erdogan, F Tahaoglu, T Uras, E Erdem RCRA@ AI* IA, 2009 | 16 | 2009 |
| Improved bounded-suboptimal multi-agent path finding solvers L Cohen, T Uras, T Kumar, H Xu, N Ayanian, S Koenig International joint conference on artificial intelligence, 2016 | 15 | 2016 |
| Time-bounded adaptive A. C Hernández, JA Baier, T Uras, S Koenig AAMAS, 997-1006, 2012 | 15 | 2012 |
| The fastmap algorithm for shortest path computations L Cohen, T Uras, S Jahangiri, A Arunasalam, S Koenig, TK Kumar arXiv preprint arXiv:1706.02792, 2017 | 13 | 2017 |
| A tight integration of task planning and motion planning in an execution monitoring framework K Haspalamutgil, C Palaz, T Uras, E Erdem, V Patoglu Proc. of BTAMP, 2010 | 9 | 2010 |
Sven KoenigProfessor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
