Aditya Mandalika
Aditya Mandalika
PhD Student, Computer Science and Engineering, University of Washington
Verified email at - Homepage
Cited by
Cited by
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
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
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
Bayesian policy optimization for model uncertainty
G Lee, B Hou, A Mandalika, J Lee, S Choudhury, SS Srinivasa
arXiv preprint arXiv:1810.01014, 2018
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
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
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
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
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
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
Efficient Robot Motion Planning in Cluttered Environments
AV Mandalika
University of Washington, 2021
The system can't perform the operation now. Try again later.
Articles 1–11