Anirudh Vemula

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J. Andrew BagnellCarnegie Mellon UniversityEmail confirmado em ri.cmu.edu
Katharina MuellingRoboticistEmail confirmado em google.com
Jean OhRobotics Institute, Carnegie Mellon UniversityEmail confirmado em cs.cmu.edu
Wen SunAssistant Professor, Cornell UniversityEmail confirmado em cornell.edu
Maxim LikhachevAssociate Professor of Robotics, Carnegie Mellon UniversityEmail confirmado em cs.cmu.edu
Byron BootsAssociate Professor, University of WashingtonEmail confirmado em cs.washington.edu
Oren SalzmanTechnion-Israel Institute of TechnologyEmail confirmado em cs.technion.ac.il
Sung-Kyun KimNASA Jet Propulsion Laboratoy, CaltechEmail confirmado em jpl.nasa.gov
Sanjiban ChoudhuryAssistant Professor, CornellEmail confirmado em cornell.edu
Yash OzaAmazon RoboticsEmail confirmado em andrew.cmu.edu
Fahad IslamCarnegie Mellon UniversityEmail confirmado em fulbrightmail.org
Bhaskaran RamanAssociate Professor, Department of Computer Science and Engineering, IIT BombayEmail confirmado em cse.iitb.ac.in
K. K. RamakrishnanDistinguished Professor of Computer Science and Engineering, University of California, RiversideEmail confirmado em cs.ucr.edu
Divya BansalPEC University of Technology; PEC; Punjab Engineering CollegeEmail confirmado em pec.edu.in
Yuda SongCarnegie Mellon UniversityEmail confirmado em andrew.cmu.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityEmail confirmado em cmu.edu
Debidatta DwibediGoogle DeepmindEmail confirmado em google.com
Sandip AineMotionalEmail confirmado em motional.com
Manash Pratim DasCarnegie Mellon UniversityEmail confirmado em alumni.cmu.edu
Sebastian SchererAssociate Research Professor, Carnegie Mellon UniversityEmail confirmado em andrew.cmu.edu

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Anirudh Vemula

Gritt Robotics. PhD in Robotics @CMU

Email confirmado em gritt.ai - Página inicial

Robotics Learning Planning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Social attention: Modeling attention in human crowds A Vemula, K Muelling, J Oh 2018 IEEE international Conference on Robotics and Automation (ICRA), 4601-4607, 2018	811	2018
Modeling cooperative navigation in dense human crowds A Vemula, K Muelling, J Oh 2017 IEEE International Conference on Robotics and Automation (ICRA), 1685-1692, 2017	119	2017
Provably efficient imitation learning from observation alone W Sun, A Vemula, B Boots, D Bagnell International conference on machine learning, 6036-6045, 2019	111	2019
Contrasting exploration in parameter and action space: A zeroth-order optimization perspective A Vemula, W Sun, JA Bagnell arXiv preprint arXiv:1901.11503, 2019	56	2019
Path planning in dynamic environments with adaptive dimensionality A Vemula, K Muelling, J Oh Proceedings of the International Symposium on Combinatorial Search 7 (1 …, 2016	34	2016
Planning and Execution using Inaccurate Models with Provable Guarantees A Vemula, Y Oza, JA Bagnell, M Likhachev 2020 Robotics: Science and Systems (RSS), 1-8, 2020	25	2020
Planning, Learning and Reasoning Framework for Robot Truck Unloading F Islam, A Vemula, SK Kim, A Dornbush, O Salzman, M Likhachev arXiv preprint arXiv:1910.09453, 2019	20	2019
The virtues of laziness in model-based rl: A unified objective and algorithms A Vemula, Y Song, A Singh, D Bagnell, S Choudhury International Conference on Machine Learning, 34978-35005, 2023	13	2023
Improving public transportation through crowd-sourcing A Vemula, N Patil, V Paharia, A Bansal, M Chaudhary, N Aggarwal, ... 2015 7th International Conference on Communication Systems and Networks …, 2015	13	2015
CMAX++: Leveraging experience in planning and execution using inaccurate models A Vemula, JA Bagnell, M Likhachev Proceedings of the AAAI Conference on Artificial Intelligence 35 (7), 6147-6155, 2021	10	2021
On the effectiveness of iterative learning control A Vemula, W Sun, M Likhachev, JA Bagnell Learning for Dynamics and Control Conference, 47-58, 2022	6	2022
Improved soft duplicate detection in search-based motion planning N Maray, A Vemula, M Likhachev 2022 International Conference on Robotics and Automation (ICRA), 5792-5798, 2022	4	2022
Safe and Efficient Navigation in Dynamic Environments A Vemula no. July, 2017	4	2017
Learning optimal decision making for an industrial truck unloading robot using minimal simulator runs MP Das, A Vemula, M Pathak, S Aine, M Likhachev arXiv preprint arXiv:2105.05019, 2021	3	2021
Playing Games with Deep Reinforcement Learning D Dwibedi, A Vemula Master’s thesis. See also URL https://debidatta. github. io/assets …, 2020	3	2020
Tron: A Fast Solver for Trajectory Optimization with Non-Smooth Cost Functions A Vemula, JA Bagnell 2020 59th IEEE Conference on Decision and Control (CDC), 4157-4163, 2020	2	2020
Learning motion planning assumptions A Vemula, S Choudhury, S Scherer Carnegie Mellon University Techinial Report, 2014	2	2014
Exploration in action space A Vemula, W Sun, JA Bagnell arXiv preprint arXiv:2004.00500, 2020	1	2020
Task-Informed Fidelity Management for Speeding Up Robotics Simulation A Tallavajhula, A Schoisengeier, SK Kim, A Vemula, L Lister, O Salzman arXiv preprint arXiv:1910.12284, 2019	1	2019
Mosaicing of multiplanar regions through autonomous navigation of off-the-shelf quadcopter MG Prasad, SP Akula, A Vemula, S Chandran IET Cyber-systems and Robotics 1 (3), 81-92, 2019	1	2019

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