Arbaaz Khan

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Alejandro RibeiroUniversity of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Vijay KumarProfessor of Mechanical Engineering and Applied Mechanics, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Clark ZhangMetaDirección de correo verificada de seas.upenn.edu
Daniel D. LeeTisch University Professor of ECE, Cornell UniversityDirección de correo verificada de alum.mit.edu
Nikolay A. AtanasovAssociate Professor, University of California San DiegoDirección de correo verificada de ucsd.edu
Konstantinos KarydisUniversity of California, RiversideDirección de correo verificada de ece.ucr.edu
martial hebertCMUDirección de correo verificada de ri.cmu.edu
Ekaterina I TolstayaResearch Scientist at WaymoDirección de correo verificada de waymo.com
Brent SchlotfeldtPhD Student, University of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Jiayue WUUniversity of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Debadeepta DeyDistinguished Researcher, DataRobotDirección de correo verificada de debadeepta.com
Osbert BastaniUniversity of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Shreyansh DaftryNASA Jet Propulsion Laboratory | Caltech | Ex-CMU | Ex-TU GrazDirección de correo verificada de jpl.nasa.gov
Shuo LiUniversity of PennsylvaniaDirección de correo verificada de seas.upenn.edu
Sarah TangWaymoDirección de correo verificada de alumni.upenn.edu
J. Andrew BagnellCarnegie Mellon UniversityDirección de correo verificada de ri.cmu.edu
Santiago PaternainRensselaer Polytechnic InstituteDirección de correo verificada de rpi.edu

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Arbaaz Khan

Applied Scientist, Amazon

Dirección de correo verificada de amazon.com

Machine Learning Robotics NLP


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Graph policy gradients for large scale robot control A Khan, E Tolstaya, A Ribeiro, V Kumar Conference on robot learning, 823-834, 2020	103	2020
Memory augmented control networks A Khan, C Zhang, N Atanasov, K Karydis, V Kumar, DD Lee arXiv preprint arXiv:1709.05706, 2017	98	2017
Learning safe unlabeled multi-robot planning with motion constraints A Khan, C Zhang, S Li, J Wu, B Schlotfeldt, SY Tang, A Ribeiro, O Bastani, ... 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019	41	2019
Robust monocular flight in cluttered outdoor environments S Daftry, S Zeng, A Khan, D Dey, N Melik-Barkhudarov, JA Bagnell, ... arXiv preprint arXiv:1604.04779, 2016	41	2016
Scalable centralized deep multi-agent reinforcement learning via policy gradients A Khan, C Zhang, DD Lee, V Kumar, A Ribeiro arXiv preprint arXiv:1805.08776, 2018	40	2018
Graph neural networks for motion planning A Khan, A Ribeiro, V Kumar, AG Francis arXiv preprint arXiv:2006.06248, 2020	36	2020
Learning safe recovery trajectories with deep neural networks for unmanned aerial vehicles A Khan, M Hebert 2018 IEEE Aerospace Conference, 1-9, 2018	23	2018
Large scale distributed collaborative unlabeled motion planning with graph policy gradients A Khan, V Kumar, A Ribeiro IEEE Robotics and Automation Letters 6 (3), 5340-5347, 2021	19	2021
Graph policy gradients for large scale unlabeled motion planning with constraints A Khan, V Kumar, A Ribeiro arXiv preprint arXiv:1909.10704, 2019	10	2019
Learning sample-efficient target reaching for mobile robots A Khan, V Kumar, A Ribeiro 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018	9	2018
End-to-end navigation in unknown environments using neural networks A Khan, C Zhang, N Atanasov, K Karydis, DD Lee, V Kumar arXiv preprint arXiv:1707.07385, 2017	9	2017
Neural network memory architectures for autonomous robot navigation SW Chen, N Atanasov, A Khan, K Karydis, DD Lee, V Kumar arXiv preprint arXiv:1705.08049, 2017	9	2017
Collaborative multiagent reinforcement learning in homogeneous swarms A Khan, C Zhang, V Kumar, A Ribeiro	6	2018
Sufficiently accurate model learning C Zhang, A Khan, S Paternain, A Ribeiro 2020 IEEE International Conference on Robotics and Automation (ICRA), 10991 …, 2020	4	2020
Graph Neural Networks for Motion Planning A Ribeiro, A Khan, V Kumar, AG Francis	1	2020
Learning Task Agnostic Sufficiently Accurate Models. C Zhang, A Khan, S Paternain, V Kumar, A Ribeiro arXiv preprint arXiv:1902.06862, 2019	1	2019
Multi modal pose fusion for monocular flight with unmanned aerial vehicles A Khan, M Hebert 2018 IEEE Aerospace Conference, 1-7, 2018	1	2018
Graph Convolutions For Teams Of Robots A Khan University of Pennsylvania, 2021		2021
End-to-End Navigation in Unknown Environments using Neural Networks K Karydis, A Khan, C Zhang, N Atanasov, D Lee, V Kumar		2017

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