Lazy Receding Horizon A* for Efficient Path Planning in Graphs with Expensive-to-Evaluate Edges. - Aditya Mandalika; Oren Salzman; Siddhartha S. Srinivasa (ICAPS, 2018)

Bayesian Policy Optimization for Model Uncertainty. - Gilwoo Lee; Brian Hou; Aditya Mandalika; Jeongseok Lee; Siddhartha S. Srinivasa (CoRR, 2018)

Sample-Efficient Learning of Nonprehensile Manipulation Policies via Physics-Based Informed State Distributions. - Lerrel Pinto; Aditya Mandalika; Brian Hou; Siddhartha S. Srinivasa (CoRR, 2018)

Generalized Lazy Search for Robot Motion Planning: Interleaving Search and Edge Evaluation via Event-Based Toggles. - Aditya Mandalika; Sanjiban Choudhury; Oren Salzman; Siddhartha S. Srinivasa (ICAPS, 2019)

Bayesian Policy Optimization for Model Uncertainty. - Gilwoo Lee; Brian Hou; Aditya Mandalika; Jeongseok Lee; Sanjiban Choudhury; Siddhartha S. Srinivasa (ICLR (Poster), 2019)

LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning. - Rahul Kumar; Aditya Mandalika; Sanjiban Choudhury; Siddhartha S. Srinivasa (IROS, 2019)

Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges. - Brian Hou; Sanjiban Choudhury; Gilwoo Lee; Aditya Mandalika; Siddhartha S. Srinivasa (ICRA, 2020)

Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. - Aditya Mandalika; Rosario Scalise; Brian Hou; Sanjiban Choudhury; Siddhartha S. Srinivasa (CoRR, 2021)

Efficient Robot Motion Planning in Cluttered Environments. - Aditya Mandalika (2021)

Human-Scale Mobile Manipulation Using RoMan. - Chad C. Kessens; Matthew Kaplan 002; Trevor Rocks; Philip R. Osteen; John G. Rogers; Ethan Stump; Arnon Hurwitz; Jonathan Fink; Long Quang; Mark Gonzalez; Jaymit Patel; Michael Diblasi; et al. (Field Robotics, 2022)

GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning. - Rosario Scalise; Aditya Mandalika; Brian Hou; Sanjiban Choudhury; Siddhartha S. Srinivasa (ICRA, 2023)