Aditya Mandalika

15 papers A* 4A 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. ICRA Rosario Scalise, Aditya Mandalika, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
2022	J	`jnl`	Human-Scale Mobile Manipulation Using RoMan. Field Robotics 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
2021	—	`—`	Efficient Robot Motion Planning in Cluttered Environments. Aditya Mandalika
2021	J	`jnl`	Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. CoRR Aditya Mandalika, Rosario Scalise, Brian Hou, Sanjiban Choudhury, Siddhartha S. Srinivasa
2020	A*	`conf`	Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. ICRA Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa
2020	J	`jnl`	Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. CoRR Brian Hou, Sanjiban Choudhury, Gilwoo Lee, Aditya Mandalika, Siddhartha S. Srinivasa
2019	—	`conf`	Bayesian Policy Optimization for Model Uncertainty. ICLR (Poster) Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Sanjiban Choudhury, Siddhartha S. Srinivasa
2019	A*	`conf`	Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-Based Toggles. ICAPS Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa
2019	J	`jnl`	Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-based Toggles. CoRR Aditya Mandalika, Sanjiban Choudhury, Oren Salzman, Siddhartha S. Srinivasa
2019	A	`conf`	LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. IROS Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa
2019	J	`jnl`	LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. CoRR Rahul Kumar, Aditya Mandalika, Sanjiban Choudhury, Siddhartha S. Srinivasa
2018	J	`jnl`	Bayesian Policy Optimization for Model Uncertainty. CoRR Gilwoo Lee, Brian Hou, Aditya Mandalika, Jeongseok Lee, Siddhartha S. Srinivasa
2018	A*	`conf`	Lazy Receding Horizon A* for Efficient Path Planning in Graphs with Expensive-to-Evaluate Edges. ICAPS Aditya Mandalika, Oren Salzman, Siddhartha S. Srinivasa
2018	J	`jnl`	Lazy Receding Horizon A* for Efficient Path Planning in Graphs with Expensive-to-Evaluate Edges. CoRR Aditya Mandalika, Oren Salzman, Siddhartha S. Srinivasa
2018	J	`jnl`	Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions. CoRR Lerrel Pinto, Aditya Mandalika, Brian Hou, Siddhartha S. Srinivasa