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ORCIDAditya Mandalika
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2020 – today
- 2023
[c6]Rosario Scalise, Aditya Mandalika, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa:
GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. ICRA 2023: 10212-10218- 2022
- [j1]Chad C. Kessens
, Matthew Kaplan, Trevor Rocks, Philip R. Osteen, John G. Rogers, Ethan Stump, Arnon Hurwitz, Jonathan Fink, Long Quang, Mark Gonzalez, Jaymit Patel, Michael Diblasi, Shiyani Patel, Matthew Weiker, Dilip Patel, Joseph Bowkett, Renaud Detry, Sisir Karumanchi, Larry H. Matthies, Joel Burdick, Yash Oza, Aditya Agarwal, Andrew Dornbush, Dhruv Saxena, Maxim Likhachev, Karl Schmeckpeper, Kostas Daniilidis, Ajinkya Kamat, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Human-Scale Mobile Manipulation Using RoMan. Field Robotics 2(1): 1232-1262 (2022) - 2021
- [b1]Aditya Mandalika:
Efficient Robot Motion Planning in Cluttered Environments. University of Washington, USA, 2021 - [i7]Aditya Mandalika, Rosario Scalise, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. CoRR abs/2104.05037 (2021) - 2020
- [c5]Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa:
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. ICRA 2020: 4266-4272 - [i6]Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa:
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. CoRR abs/2002.11853 (2020)
2010 – 2019
- 2019
- [c4]Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa:
Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-Based Toggles. ICAPS 2019: 745-753 - [c3]Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa:
Bayesian Policy Optimization for Model Uncertainty. ICLR (Poster) 2019 - [c2]Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa:
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. IROS 2019: 1488-1495 - [i5]Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa:
Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles. CoRR abs/1904.02795 (2019) - [i4]Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa:
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. CoRR abs/1907.09574 (2019) - 2018
- [c1]Aditya Mandalika, Oren Salzman, Siddhartha S. Srinivasa:
Lazy Receding Horizon A* for Efficient Path Planning in Graphs with Expensive-to-Evaluate Edges. ICAPS 2018: 476-484 - [i3]Aditya Mandalika, Oren Salzman, Siddhartha S. Srinivasa:
Lazy Receding Horizon A* for Efficient Path Planning in Graphs with Expensive-to-Evaluate Edges. CoRR abs/1803.04998 (2018) - [i2]Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Siddhartha S. Srinivasa:
Bayesian Policy Optimization for Model Uncertainty. CoRR abs/1810.01014 (2018) - [i1]Lerrel Pinto, Aditya Mandalika, Brian Hou, Siddhartha S. Srinivasa:
Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions. CoRR abs/1810.10654 (2018)
Coauthor Index
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