( en | de | ru )

 

Disambiguation of "Murrieta-Cid, Rafael"

Author of the publication

copydeleteadd this publication to your clipboard
On the value of information in a differential pursuit-evasion game.

, , and . ICRA, page 4768-4774. IEEE, (2015)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Adriana Cid

Cornelia Cidlinsky

Camilo Cid Pedraza

Vesna Cidilko

Klaus Cidlinsky

 

Other publications of authors with the same name

Small-Time Local Controllability of a Differential Drive Robot with a Limited Sensor for Landmark-Based Navigation., and . MICAI, volume 4827 of Lecture Notes in Computer Science, page 800-810. Springer, (2007)Optimal navigation and object finding without geometric maps or localization., , and . ICRA, page 464-470. IEEE, (2003)Control Inference Neural Network for Motion Planning With Dynamical Systems., , and . IEEE Robotics Autom. Lett., 8 (12): 8224-8231 (December 2023)Surveillance and Collision-Free Tracking of an Aggressive Evader With an Actuated Sensor Pursuer., , , and . IEEE Robotics Autom. Lett., 7 (3): 6854-6861 (2022)Human Perception-Optimized Planning for Comfortable VR-Based Telepresence., , , , , and . IEEE Robotics Autom. Lett., 5 (4): 6489-6496 (2020)An Efficient Motion Strategy to Compute Expected-Time Locally Optimal Continuous Search Paths in Known Environments., , and . Adv. Robotics, 23 (12-13): 1533-1560 (2009)Image feedback based optimal control and the value of information in a differential game., , , , and . Autom., (2018)Tracking an omnidirectional evader with a differential drive robot at a bounded variable distance., , and . Int. J. Appl. Math. Comput. Sci., 24 (2): 371-385 (2014)Surveillance Strategies for a Pursuer with Finite Sensor Range., , , , and . Int. J. Robotics Res., 26 (3): 233-253 (2007)Next-best-view regression using a 3D convolutional neural network., , , , and . Mach. Vis. Appl., 32 (1): 42 (2021)