Seuraa
Aravind Sivaramakrishnan
Aravind Sivaramakrishnan
Rutgers University
Vahvistettu sähköpostiosoite verkkotunnuksessa scarletmail.rutgers.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
102022
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
82021
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
72022
Towards learning efficient maneuver sets for kinodynamic motion planning
A Sivaramakrishnan, Z Littlefield, KE Bekris
arXiv preprint arXiv:1907.07876, 2019
62019
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
52015
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
42022
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
22023
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
22022
Towards Benchmarking Sampling-Based Kinodynamic Motion Planners with ML4KP
E Granados, A Sivaramakrishnan, KE Bekris
Workhsop: Evaluating Motion Planning Performance: Metrics, Tools, Datasets …, 2022
22022
Roadmaps with Gaps over Controllers: Achieving Efficiency in Planning under Dynamics
A Sivaramakrishnan, NR Carver, S Tangirala, KE Bekris
arXiv preprint arXiv:2310.03239, 2023
2023
MORALS: Analysis of High-Dimensional Robot Controllers via Topological Tools in a Latent Space
ER Vieira, A Sivaramakrishnan, S Tangirala, E Granados, K Mischaikow, ...
2023
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