Biblio

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A
A. Felner, Li, J., Boyarski, E., Ma, H., Cohen, L., Kumar, T. K. Satish, and Keonig, S., Adding Heuristics to Conflict-Based Search for Multi-Agent Pathfinding, in International Conference on Automated Planning and Scheduling (ICAPS), 2018.
H. Ma and Koenig, S., AI Buzzwords Explained: Multi-Agent Path Finding (MAPF), AI Matters, vol. 3, no. 3, pp. 15–19, 2017.
A. Kleiner, Sun, D., and Meyer-Delius, D., ARMO: Adaptive Road Map Optimization for Large Robot Teams, in IROS, San Fransisco, USA, 2011.
M. G. Lagoudakis, Markakis, E., Kempe, D., Keskinocak, P., Kleywegt, A., Koenig, S., Tovey, C., Meyerson, A., and Jain, S., Auction-Based Multi-Robot Routing, in Proceedings of Robotics: Science and Systems, Cambridge, USA, 2005.
M. G. Lagoudakis, Markakis, E., Kempe, D., Keskinocak, P., Kleywegt, A., Koenig, S., Tovey, C., Meyerson, A., and Jain, S., Auction-Based Multi-Robot Routing, in Proceedings of Robotics: Science and Systems, Cambridge, USA, 2005.
N. Bartolini, Calamoneri, T., La Porta, T., Massini, A., and Silvestri, S., Autonomous deployment of heterogeneous mobile sensors, in 2009 17th IEEE International Conference on Network Protocols, 2009.
J. Hansen, Manjanna, S., Quattrini Li, A., Rekleitis, I., and Dudek, G., Autonomous Marine Sampling Enhanced by Strategically Deployed Drifters in Marine Flow Fields, in OCEANS 2018 MTS/IEEE Charleston, Charleston, SC, 2018.
F
H. Ma, Yang, J., Cohen, L., Kumar, T. K. Satish, and Koenig, S., Feasibility Study: Moving Non-Homogeneous Teams in Congested Video Game Environments, in AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2017.
W. Honig, Kumar, T. K. Satish, Ma, H., Koenig, S., and Ayanian, N., Formation change for robot groups in occluded environments, in 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, 2016.
M. S. Couceiro, Machado, J. A. T., Rocha, R. P., and Ferreira, N. M. F., A Fuzzified Systematic Adjustment of the Robotic Darwinian PSO, Robotics and Autonomous Systems, vol. 60, pp. 1625-1639, 2012.
I
M. S. Couceiro, Rocha, R. P., Ferreira, N. M., and Machado, J. T., Introducing the Fractional Order Darwinian Particle Swarm Optimization, Signal, Image and Video Processing, Special Issue on Fractional Signals and Systems, vol. 6, pp. 343-350, 2012.
L
H. Ma, Li, J., Kumar, T. K. Satish, and Koenig, S., Lifelong Multi-Agent Path Finding for Online Pickup and Delivery Tasks, in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2017.
M
D. Milutinović, Casbeer, D. W., and Pachter, M., Markov inequality rule for switching among time optimal controllers in a multiple vehicle intercept problem, Automatica, vol. 87, p. 274--280, 2018.
M. S. Couceiro, Martins, F. M., Rocha, R. P., and Ferreira, N. M. F., Mechanism and Convergence Analysis of a Multi-Robot Swarm Approach Based on Natural Selection, Journal of Intelligent and Robotic Systems, vol. 76, pp. 353-381, 2014.
W. Hoenig, Milanes, C., Scaria, L., Phan, T., Bolas, M., and Ayanian, N., Mixed Reality for Robotics, in IEEE/RSJ Intl Conf. Intelligent Robots and Systems, Hamburg, Germany, 2015.
W. Honig, Milanes, C., Scaria, L., Phan, T., Bolas, M., and Ayanian, N., Mixed reality for robotics, in 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 2015.
A. Franchi, Masone, C., Grabe, V., Ryll, M., Bülthoff, H. H., and Giordano, P. Robuffo, Modeling and Control of UAV Bearing-Formations with Bilateral High-Level Steering, The International Journal of Robotics Research, Special Issue on 3D Exploration, Mapping, and Surveillance, vol. 31, pp. 1504-1525, 2012.
D. Milutinović and Lima, P., Modeling and Optimal Centralized Control of a Large-Size Robotic Population, IEEE Transactions on Robotics, vol. 22, no. 6, pp. 1280-1285, 2006.
H. Ma, Wagner, G., Felner, A., Li, J., Kumar, T. K. Satish, and Koenig, S., Multi-Agent Path Finding with Deadlines, in International Joint Conference on Artificial Intelligence (IJCAI), 2018.
H. Ma, Wagner, G., Felner, A., Li, J., Kumar, T. K. Satish, and Koenig, S., Multi-Agent Path Finding with Deadlines: Preliminary Results, in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2018.
H. Ma, Kumar, T. K. Satish, and Koenig, S., Multi-Agent Path Finding with Delay Probabilities, in AAAI Conference on Artificial Intelligence (AAAI), 2017.
W. Hönig, Kumar, T. K. Satish, Cohen, L., Ma, H., Xu, H., Ayanian, N., and Koenig, S., Multi-Agent Path Finding with Kinematic Constraints, in International Conference on Automated Planning and Scheduling, London, UK, 2016.
H. Ma, Tovey, C., Sharon, G., Kumar, T. K. Satish, and Koenig, S., Multi-Agent Path Finding with Payload Transfers and the Package-Exchange Robot-Routing Problem, in AAAI Conference on Artificial Intelligence (AAAI), 2016.
N. Karapetyan, Moulton, J., Lewis, J. S., Quattrini Li, A., O'Kane, J. M., and Rekleitis, I., Multi-robot Dubins Coverage with Autonomous Surface Vehicles, in IEEE International Conference on Robotics and Automation (ICRA), 2018.
D. Sieber, Music, S., and Hirche, S., Multi-robot manipulation controlled by a human with haptic feedback, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015.
N. Bartolini, Coletta, A., Maselli, G., and Khalifeh, A., A Multi-Trip Task Assignment for Early Target Inspection in Squads of Aerial Drones, IEEE Transactions on Mobile Computing, vol. in press, 2020.
R
A. Kleiner, Farinelli, A., Ramchurn, S., Shi, B., Maffioletti, F., and Reffato, R., RMASBench: Benchmarking Dynamic Multi-Agent Coordination in Urban Search and Rescue, in Proc. of the 12th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2013), 2013.
K. Masaba and Quattrini Li, A., ROS-CBT: Communication Benchmarking Tool for the Robot Operating System: Extended Abstract, in International Symposium on Multi-Robot and Multi-Agent Systems (MRS), New Brunswick, NJ, USA, 2019.
S
A. Hashemi, Milutinović, D., and Casbeer, D. W., Scalable value approximation for multiple target tail-chase with collision avoidance, in 2016 IEEE 55th Conference on Decision and Control (CDC), 2016.
L. Marconi, Melchiorri, C., Beetz, M., Pangercic, D., Siegwart, R., Leutenegger, S., Carloni, R., Stramigioli, S., Bruyninckx, H., Doherty, P., Kleiner, A., Lippiello, V., Finzi, A., Siciliano, B., Sala, A., and Tomatis, N., The SHERPA project: smart collaboration between humans and ground-aerial robots for improving rescuing activities in alpine environments, in Proc. of the IEEE Int. Workshop on Safety, Security and Rescue Robotics (SSRR), College Station, US, 2012.
L. Marconi, Melchiorri, C., Beetz, M., Pangercic, D., Siegwart, R., Leutenegger, S., Carloni, R., Stramigioli, S., Bruyninckx, H., Doherty, P., Kleiner, A., Lippiello, V., Finzi, A., Siciliano, B., Sala, A., and Tomatis, N., The SHERPA project: smart collaboration between humans and ground-aerial robots for improving rescuing activities in alpine environments, in Proc. of the IEEE Int. Workshop on Safety, Security and Rescue Robotics (SSRR), College Station, US, 2012.
R. Anderson and Milutinović, D., Stochastic Optimal Enhancement of Distributed Formation Control Using Kalman Smoothers, Robotica, vol. 32, no. 2, pp. 305-324, 2014.
W. Honig, Kumar, T. K. Satish, Cohen, L., Ma, H., Xu, H., Ayanian, N., and Koenig, S., Summary: Multi-Agent Path Finding with Kinematic Constraints, in Twenty-Sixth International Joint Conference on Artificial IntelligenceProceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, Melbourne, AustraliaCalifornia, 2017.
T
N. Bartolini, Coletta, A., and Maselli, G., On Task Assignment for Early Target Inspection in Squads of Aerial Drones, IEEE Proceedings of the International Conference on Distributed Computing Systems (ICDCS). 2019.