Biblio

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A
R. Anderson and Milutinović, D., Stochastic Optimal Enhancement of Distributed Formation Control Using Kalman Smoothers, Robotica, vol. 32, no. 2, pp. 305-324, 2014.
N. Ayanian, White, P., Halász, A., Yim, M., and Kumar, V., Stochastic Control for Self-Assembly of {XB}ots, in ASME Mechanisms and Robotics Conference, New York, NY, 2008, vol. 2, pp. 1169-1176.
N. Ayanian, Kallem, V., and Kumar, V., Synthesis of Feedback Controllers for Multiple Aerial Robots with Geometric Constraints, in Intl Conf Intelligent Robots and Systems, San Francisco, CA, 2011, pp. 3126-3131.
N. Ayanian, Kallem, V., and Kumar, V., Synthesis of feedback controllers for multiple aerial robots with geometric constraints, in 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011)2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, CA, 2011.
N. Ayanian, Kumar, V., and Koditschek, D., Synthesis of Controllers to Create, Maintain, and Reconfigure Robot Formations with Communication Constraints, in Robotics Research, vol. 70, C. Pradalier, Siegwart, R., and Hirzinger, G., Eds. Springer Berlin / Heidelberg, 2011, pp. 625-642.
F
A. Franchi, Secchi, C., Ryll, M., Bülthoff, H. H., and Giordano, P. Robuffo, Shared Control: Balancing Autonomy and Human Assistance with a Group of Quadrotor UAVs., IEEE Robotics and Automation Magazine, Special Issue on Aerial Robotics and the Quadrotor Platform, vol. 19, pp. 57-68, 2012.
A. Franchi, Freda, L., Oriolo, G., and Vendittelli, M., The Sensor-based Random Graph Method for Cooperative Robot Exploration, IEEE/ASME Transaction on Mechatronics, vol. 14, pp. 163-175, 2009.
H
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.
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.
E. R. Hunt, Jenkinson, G., Wilsher, M., Dettmann, C. P., and Hauert, S., SPIDER: a Bioinspired Swarm Algorithm for Adaptive Risk-Taking, Artificial Life Conference Proceedings, vol. 32, pp. 44-51, 2020.
J
M. Jílek, Stránská, K., Somr, M., Kulich, M., Zeman, J., and Přeučil, L., Self-Stabilizing Self-Assembly, IEEE Robotics and Automation Letters, vol. 7, pp. 9763-9769, 2022.
P
D. Portugal and Rocha, R., A Survey on Multi-Robot Patrolling Algorithms, in Proc. of 2nd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS'11), Costa da Caparica, Lisbon, Portugal, 2011.
W
G. Wagner, Choset, H., and Ayanian, N., Subdimensional Expansion and Optimal Task Reassignment, in AAAI Symposium on Combinatorial Search, Niagara Falls, ON, Canada, 2012.
X
H. Xu, Kumar, T. K. Satish, Johnke, D., Ayanian, N., and Koenig, S., SAGL: A New Heuristic for Multi-Robot Routing with Complex Tasks, in 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI)2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI), San Jose, CA, USA, 2016.
Y
Z. Yan, Jouandeau, N., and Cherif, A. Ali, A Survey and Analysis of Multi-Robot Coordination, International Journal of Advanced Robotic Systems, vol. 10, 2013.
Z
D. Zhao and Lam, T. Lun, SnailBot: A Continuously Dockable Modular Self-reconfigurable Robot Using Rocker-bogie Suspension, in 2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022, pp. 4261–4267.