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Aditya Mandalika
Aditya Mandalika
PhD Student, Computer Science and Engineering, University of Washington
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Generalized lazy search for robot motion planning: Interleaving search and edge evaluation via event-based toggles
A Mandalika, S Choudhury, O Salzman, S Srinivasa
Proceedings of the International Conference on Automated Planning and ¡¦, 2019
602019
LEGO: Leveraging experience in roadmap generation for sampling-based planning
R Kumar, A Mandalika, S Choudhury, S Srinivasa
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems ¡¦, 2019
572019
Lazy receding horizon A* for efficient path planning in graphs with expensive-to-evaluate edges
A Mandalika, O Salzman, S Srinivasa
Proceedings of the international conference on automated planning and ¡¦, 2018
492018
Bayesian policy optimization for model uncertainty
G Lee, B Hou, A Mandalika, J Lee, S Choudhury, SS Srinivasa
arXiv preprint arXiv:1810.01014, 2018
432018
Sample-efficient learning of nonprehensile manipulation policies via physics-based informed state distributions
L Pinto, A Mandalika, B Hou, S Srinivasa
arXiv preprint arXiv:1810.10654, 2018
142018
Posterior sampling for anytime motion planning on graphs with expensive-to-evaluate edges
B Hou, S Choudhury, G Lee, A Mandalika, SS Srinivasa
2020 IEEE International Conference on Robotics and Automation (ICRA), 4266-4272, 2020
112020
Guided incremental local densification for accelerated sampling-based motion planning
A Mandalika, R Scalise, B Hou, S Choudhury, SS Srinivasa
arXiv preprint arXiv:2104.05037, 2021
92021
Toward fieldable human-scale mobile manipulation using RoMan
CC Kessens, J Fink, A Hurwitz, M Kaplan, PR Osteen, T Rocks, J Rogers, ...
Artificial Intelligence and Machine Learning for Multi-Domain Operations ¡¦, 2020
52020
Numerical and experimental implementation of leapfrog algorithm for optimal control of a mobile robot
A Vamsikrishna, AD Mahindrakar, S Tiwari
2017 Indian Control Conference (ICC), 123-128, 2017
42017
GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning
R Scalise, A Mandalika, B Hou, S Choudhury, SS Srinivasa
2023 IEEE International Conference on Robotics and Automation (ICRA), 10212 ¡¦, 2023
22023
Efficient Robot Motion Planning in Cluttered Environments
AV Mandalika
University of Washington, 2021
2021
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