Publications

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A
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.
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Bekris, KE, BY Chen, AM Ladd, E Plaku, and LE Kavraki. 2003. Multiple Query Probabilistic Roadmap Planning Using Single Query Planning Primitives. In IEEE/RJS International Conference on Intelligent Robots and Systems (IROS03), Las Vegas, NV. http://www.cs.rutgers.edu/~kb572/pubs/srt.pdf.
Bekris, KE, R. Shome, A Krontiris, and A Dobson. 2015. Cloud Automation: Precomputing Roadmaps For Flexible Manipulation. IEEE Robotics and Automation Magazine (accepted)(Special Issue on "Emerging Advances and Applications in Automation"). http://www.cs.rutgers.edu/~kb572/pubs/cloud_manipulation.pdf.
Bekris, KE, and LE Kavraki. 2007. Greedy But Safe Replanning Under Kinodynamic Constraints. In IEEE International Conference on Robotics and Automation (ICRA07), Rome, Italy. http://www.cs.rutgers.edu/~kb572/pubs/greedy_but_safe_0.pdf.
Bekris, KE. 2004. MS Thesis. Computer Science at Rice University Reactive Range-Free Landmark Navigation Without Scene Reconstruction. Rice University (MS Thesis).
Bekris, KE, M Glick, and LE Kavraki. 2006. Evaluation Of Algorithms For Bearing-Only Slam. In IEEE International Conference on Robotics and Automation (ICRA06), Orlando, FL. http://www.cs.rutgers.edu/~kb572/pubs/bearing_only_slam.pdf.
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.
Bekris, KE, and LE Kavraki. 2008. Informed And Probabilistically Complete Search For Motion Planning Under Differential Constraints. In First International Symposium on Search Techniques in Artificial Intelligence and Robotics (STAIR), Chicago, IL. http://www.cs.rutgers.edu/~kb572/pubs/informed_planning_dynamics.pdf.
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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.
Dobson, A, and KE Bekris. 2013. Improving Sparse Roadmap Spanners. In IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany. http://www.cs.rutgers.edu/~kb572/pubs/spars2.pdf.
Dobson, A, and KE Bekris. 2013. Finite-Time Near-Optimality Properties Of Sampling-Based Motion Planners. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Tokyo Big Sight, Japan. http://www.cs.rutgers.edu/~kb572/pubs/finitetime_iros13.pdf.

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