Anirudh Vemula
Anirudh Vemula
Aurora Innovation. PhD in Robotics @CMU
Verified email at - Homepage
Cited by
Cited by
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
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
Provably efficient imitation learning from observation alone
W Sun, A Vemula, B Boots, D Bagnell
International conference on machine learning, 6036-6045, 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
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
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
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
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
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
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
On the effectiveness of iterative learning control
A Vemula, W Sun, M Likhachev, JA Bagnell
Learning for Dynamics and Control Conference, 47-58, 2022
Playing Games with Deep Reinforcement Learning
D Dwibedi, A Vemula
Master’s thesis. See also URL https://debidatta. github. io/assets …, 2020
Safe and Efficient Navigation in Dynamic Environments
A Vemula
no. July, 2017
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
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
Learning motion planning assumptions
A Vemula, S Choudhury, S Scherer
Carnegie Mellon University Techinial Report, 2014
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
Exploration in action space
A Vemula, W Sun, JA Bagnell
arXiv preprint arXiv:2004.00500, 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
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
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