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Aditya Vamsikrishna Mandalika
Researcher, NA, Aurora Innovation
Joined
October 2024
Names
Aditya Vamsikrishna Mandalika
(Preferred)
,
Aditya Mandalika
Emails
****@gmail.com
(Confirmed)
,
****@cs.washington.edu
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
LinkedIn
Career & Education History
Researcher
NA,
Aurora Innovation
(aurora.tech)
2021
–
Present
PhD student
Computer Science,
University of Washington
(uw.edu)
2016
–
2021
Undergrad student
Mechanical Engineering,
Indian Institute of Technology, Madras, Dhirubhai Ambani Institute Of Information and Communication Technology
(iitm.ac.in)
2012
–
2016
Advisors, Relations & Conflicts
PhD Advisor
Siddhartha Srinivasa
2016
–
2021
Expertise
Motion Planning
2016
–
2021
Path Planning
2016
–
2021
Behavior Planning
2016
–
2021
Publications
GuILD: Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning
Rosario Scalise
,
Aditya Mandalika
,
Brian Hou
,
Sanjiban Choudhury
,
Siddhartha S. Srinivasa
ICRA 2023
Readers:
Everyone
Human-Scale Mobile Manipulation Using RoMan
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
et al. (11 additional authors not shown)
Field Robotics 2022
Readers:
Everyone
Efficient Robot Motion Planning in Cluttered Environments
Aditya Mandalika
undefined 2021
Readers:
Everyone
Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning
Aditya Mandalika
,
Rosario Scalise
,
Brian Hou
,
Sanjiban Choudhury
,
Siddhartha S. Srinivasa
Published: 01 Jan 2021, Last Modified: 17 May 2023
CoRR 2021
Readers:
Everyone
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges
Brian Hou
,
Sanjiban Choudhury
,
Gilwoo Lee
,
Aditya Mandalika
,
Siddhartha S. Srinivasa
Published: 01 Jan 2020, Last Modified: 17 May 2023
ICRA 2020
Readers:
Everyone
Posterior Sampling for Anytime Motion Planning on Graphs with Expensive-to-Evaluate Edges
Brian Hou
,
Sanjiban Choudhury
,
Gilwoo Lee
,
Aditya Mandalika
,
Siddhartha S. Srinivasa
Published: 01 Jan 2020, Last Modified: 17 May 2023
CoRR 2020
Readers:
Everyone
LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning
Rahul Kumar
,
Aditya Mandalika
,
Sanjiban Choudhury
,
Siddhartha S. Srinivasa
CoRR 2019
Readers:
Everyone
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
Published: 01 Jan 2019, Last Modified: 17 May 2023
ICAPS 2019
Readers:
Everyone
Bayesian Policy Optimization for Model Uncertainty
Gilwoo Lee
,
Brian Hou
,
Aditya Mandalika
,
Jeongseok Lee
,
Sanjiban Choudhury
,
Siddhartha S. Srinivasa
Published: 01 Jan 2019, Last Modified: 17 May 2023
ICLR (Poster) 2019
Readers:
Everyone
View all 15 publications
Co-Authors
Aditya Agarwal
Ajinkya Kamat
Andrew Dornbush
Arnon Hurwitz
Brian Hou
Chad C. Kessens
Dhruv Saxena
Dilip Patel
Ethan Stump
Gilwoo Lee
Jaymit Patel
Jeongseok Lee
Joel Burdick
John G. Rogers
Jonathan Fink
Joseph Bowkett
Karl Schmeckpeper
Kostas Daniilidis
Larry H. Matthies
Lerrel Pinto
Long Quang
Mark Gonzalez
Matthew Kaplan
Matthew Weiker
Maxim Likhachev
View all 37 co-authors