A survey on the integration of machine learning with sampling-based motion planning T McMahon, A Sivaramakrishnan, E Granados, KE Bekris
Foundations and Trends® in Robotics 9 (4), 266-327, 2022
17 2022 Improving kinodynamic planners for vehicular navigation with learned goal-reaching controllers A Sivaramakrishnan, E Granados, S Karten, T McMahon, KE Bekris
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
10 2021 Morse graphs: Topological tools for analyzing the global dynamics of robot controllers ER Vieira, E Granados, A Sivaramakrishnan, M Gameiro, K Mischaikow, ...
International Workshop on the Algorithmic Foundations of Robotics, 436-453, 2022
9 2022 Terrain-aware learned controllers for sampling-based kinodynamic planning over physically simulated terrains T McMahon, A Sivaramakrishnan, K Kedia, E Granados, KE Bekris
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
7 2022 Towards learning efficient maneuver sets for kinodynamic motion planning A Sivaramakrishnan, Z Littlefield, KE Bekris
arXiv preprint arXiv:1907.07876, 2019
6 2019 Recommending customizable products: A multiple choice knapsack solution A Sivaramakrishnan, M Krishnamachari, V Balasubramanian
Proceedings of the 5th International Conference on Web Intelligence, Mining …, 2015
5 2015 Data-efficient characterization of the global dynamics of robot controllers with confidence guarantees ER Vieira, A Sivaramakrishnan, Y Song, E Granados, M Gameiro, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 3065-3072, 2023
3 2023 Roadmaps with gaps over controllers: Achieving efficiency in planning under dynamics A Sivaramakrishnan, S Tangirala, E Granados, NR Carver, KE Bekris
2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024
2 2024 Data-Efficient Learning of High-Quality Controls for Kinodynamic Planning used in Vehicular Navigation S Karten, A Sivaramakrishnan, E Granados, T McMahon, KE Bekris
arXiv preprint arXiv:2201.02254, 2022
2 2022 Towards benchmarking sampling-based kinodynamic motion planners with ml4kp E Granados, A Sivaramakrishnan, KE Bekris
Workhsop: Evaluating Motion Planning Performance: Metrics, Tools, Datasets …, 2022
2 2022 MORALS: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space ER Vieira, A Sivaramakrishnan, S Tangirala, E Granados, K Mischaikow, ...
1 2023 A Sivaramakrishnan, S Tangirala, DM Ramesh, E Granados, KE Bekris
arXiv preprint arXiv:2409.11522, 2024
2024 
Kostas BekrisProfessor of Computer Science, Rutgers UniversityAdresse e-mail validée de cs.rutgers.edu