Publications

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Thesis
Bekris, KE. 2004. MS Thesis. Computer Science at Rice University Reactive Range-Free Landmark Navigation Without Scene Reconstruction. Rice University (MS Thesis).
Dobson, A. 2012. MS Thesis. Computer Science and Engineering at the University of Nevada, Reno Provably Asymptotically Near-Optimal Motion Planning With Sparse Data Structures.
Apostolopoulos, I. 2011. MS Thesis. Computer Science and Engineering at the University of Nevada, Reno Integrating Minimalistic Localization And Navigation For People With Visual Impairments. University of Nevada, Reno. http://www.cs.rutgers.edu/~kb572/pubs/Apostolopoulos_MS_2011.pdf.
Krontiris, A. 2011. MS Thesis. Computer Science and Engineering at the University of Nevada, Reno Improving Controllers For Formations And Deconfliction Among Non-Holonomic Vehicles. University of Nevada, Reno. http://www.cs.rutgers.edu/~kb572/pubs/tdk_thesis.pdf.
Luna, R. 2011. MS Thesis Computer Science and Engineering at the University of Nevada, Reno Efficient Multi-Robot Path Planning In Discrete Spaces. University of Nevada, Reno. http://www.cs.rutgers.edu/~kb572/pubs/Luna_MS_2011.pdf.
Report
Zhu, S., D. Surovik, KE Bekris, and A. Boularias. 2018. AAAI Spring Symposium Series 2018 Information-Efficient Model Identification For Tensegrity Robot Locomotion. Stanford University, CA, USA.
Bekris, KE. 2010. Workshop on "Guaranteeing Safe Navigation in Dynamic Environments", International Conference on Robotics and Automation (ICRA-10) Avoiding Inevitable Collision States: Safety And Computational Efficiency In Replanning With Sampling-Based Algorithms. Anchorage, AK. http://www.cs.rutgers.edu/~kb572/pubs/ics_tradeoffs.pdf.
Journal Article
Ladd, AM, KE Bekris, A Rudys, G Marceau, LE Kavraki, and DS Wallach. 2005. Robotics-Based Location Sensing Using Wireless Ethernet. Wireless Networks (The Journal of Mobile Communication, Computation and Information) 11. http://dl.acm.org/citation.cfm?doid=570645.570674.
Sintov, A., A. Morgan, A Kimmel, A. Dollar, KE Bekris, and A. Boularias. 2019. Learning A State Transition Model Of An Underactuated Adaptive Hand. IEEE Robotics and Automation Letters (RA-L) (also appearing at IEEE ICRA 2019).
Shuai, H., N. Stiffler, KE Bekris, and J. Yu. 2018. Efficient, High-Quality Stack Rearrangement. IEEE Robotics and Automation Letters (RA-L) [Also accepted to appear at the 2018 IEEE International Conference on Robotics and Automation (ICRA)] 3(3): 1608--1615. https://www.cs.rutgers.edu/~kb572/pubs/stack_rearrangement.pdf.

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