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Computer Science

D-Index
46
Citations
9460
World Ranking
6801
National Ranking
2991

Overview

Kostas E. Bekris is affiliated with Rutgers, The State University of New Jersey, in the United States. Their research encompasses multiple fields within engineering and computer science, with a primary focus on robotics and automation.

The main fields of study for Kostas E. Bekris include:

  • Engineering
  • Computer Science

Within these broad fields, Bekris has contributed significantly to several subfields of study, notably:

  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Mechanical Engineering
  • Aerospace Engineering
  • Civil and Structural Engineering

The key research topics addressed include:

  • Robotic Path Planning Algorithms
  • Robot Manipulation and Learning
  • Robotics and Sensor-Based Localization
  • Modular Robots and Swarm Intelligence
  • Structural Analysis and Optimization
  • Human Pose and Action Recognition
  • Advanced Materials and Mechanics

The scientist has published numerous papers, among which recent notable works are:

  • "Sim2Real in Robotics and Automation: Applications and Challenges" (2021), published in IEEE Transactions on Automation Science and Engineering
  • "se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains" (2020), published in arXiv (Cornell University)
  • "Tensegrity Robotics" (2021), published in Soft Robotics
  • "BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models" (2021), published in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation" (2022), published in 2022 International Conference on Robotics and Automation (ICRA)

Bekris has collaborated frequently with several coauthors, including:

  • Bowen Wen
  • Kun Wang
  • Jingjin Yu
  • Aravind Sivaramakrishnan
  • Abdeslam Boularias

Their publications have appeared in various venues, with multiple contributions to:

  • arXiv (Cornell University)
  • 2022 International Conference on Robotics and Automation (ICRA)
  • Proceedings of the International Symposium on Combinatorial Search
  • IEEE Robotics and Automation Letters
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Bekris has also contributed to book publications, including a title published by Springer International Publishing:

  • "Algorithmic Foundations of Robotics XII" (2020)

Best Publications

  • Robotics-based location sensing using wireless Ethernet

    Andrew M. Ladd;Kostas E. Bekris;Algis Rudys;Lydia E. Kavraki

  • Robotics-based location sensing using wireless ethernet

    Andrew M. Ladd;Kostas E. Bekris;Algis Rudys;Guillaume Marceau

  • Analysis and Observations From the First Amazon Picking Challenge

    Nikolaus Correll;Kostas E. Bekris;Dmitry Berenson;Oliver Brock

  • Indoor Human Navigation Systems {a Survey

    Navid Fallah;Ilias Apostolopoulos;Kostas E. Bekris;Eelke Folmer

  • On the feasibility of using wireless ethernet for indoor localization

    A.M. Ladd;K.E. Bekris;A.P. Rudys;D.S. Wallach

  • Asymptotically optimal sampling-based kinodynamic planning

    Yanbo Li;Zakary Littlefield;Kostas E. Bekris

  • Sampling-based roadmap of trees for parallel motion planning

    E. Plaku;K.E. Bekris;B.Y. Chen;A.M. Ladd

  • Push and swap: fast cooperative path-finding with completeness guarantees

    Ryan Luna;Kostas E. Bekris

  • A Dataset for Improved RGBD-Based Object Detection and Pose Estimation for Warehouse Pick-and-Place

    Colin Rennie;Rahul Shome;Kostas E. Bekris;Alberto F. De Souza

  • Tensegrity Robotics.

    Unknown

  • Efficient and complete centralized multi-robot path planning

    Ryan Luna;Kostas E. Bekris

  • The user as a sensor: navigating users with visual impairments in indoor spaces using tactile landmarks

    Navid Fallah;Ilias Apostolopoulos;Kostas Bekris;Eelke Folmer

  • Sparse roadmap spanners for asymptotically near-optimal motion planning

    Andrew Dobson;Kostas E. Bekris

  • Robot Homing by Exploiting Panoramic Vision

    Antonis A. Argyros;Kostas E. Bekris;Stelios C. Orphanoudakis;Lydia E. Kavraki

  • Greedy but Safe Replanning under Kinodynamic Constraints

    K.E. Bekris;L.E. Kavraki

  • Dealing with difficult instances of object rearrangement

    Athanasios Krontiris;Kostas E. Bekris

  • Sim2Real in Robotics and Automation: Applications and Challenges

    Sebastian Hofer;Kostas Bekris;Ankur Handa;Juan Camilo Gamboa

  • Using wireless Ethernet for localization

    A.M. Ladd;K.E. Bekris;G. Marceau;A. Rudys

  • se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains

    Bowen Wen;Chaitanya Mitash;Baozhang Ren;Kostas E. Bekris

  • Asymptotically Near-Optimal Planning With Probabilistic Roadmap Spanners

    James D. Marble;Kostas E. Bekris

  • A self-supervised learning system for object detection using physics simulation and multi-view pose estimation

    Chaitanya Mitash;Kostas E. Bekris;Abdeslam Boularias

  • Multiple query probabilistic roadmap planning using single query planning primitives

    K.E. Bekris;B.Y. Chen;A.M. Ladd;E. Plaku

Frequent Co-Authors

Lydia E. Kavraki
Lydia E. Kavraki Rice University
Dan Halperin
Dan Halperin Tel Aviv University
Dan S. Wallach
Dan S. Wallach Rice University
Antonis A. Argyros
Antonis A. Argyros University of Crete
Nikolaus Correll
Nikolaus Correll University of Colorado Boulder
Kei Okada
Kei Okada University of Tokyo
Kris Hauser
Kris Hauser Duke University
Oliver Brock
Oliver Brock Technical University of Berlin
Shuran Song
Shuran Song Stanford University

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