‪Aravinda Ramakrishnan Srinivasan‬

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Gustav MarkkulaUniversity of LeedsZweryfikowany adres z leeds.ac.uk
Jac BillingtonAssociate Professor: School of Psychology, University of LeedsZweryfikowany adres z leeds.ac.uk
Matteo LeonettiDepartment of Informatics, King's College LondonZweryfikowany adres z kcl.ac.uk
Subhadeep ChakrabortyAssociate Professor of Mechanical Engineering, University of Tennessee, KnoxvilleZweryfikowany adres z utk.edu
Yi-Shin LinUniversity of LeedsZweryfikowany adres z leeds.ac.uk
Gerhard NeumannProfessor, Karlsruhe Institute of Technology (KIT)Zweryfikowany adres z robot-learning.de
Marc HanheideProfessor of Intelligent Robotics and Interactive Systems, University of LincolnZweryfikowany adres z hanheide.net
Richard RomanoUniversity of LeedsZweryfikowany adres z leeds.ac.uk
Farshad Salimi Naneh KaranPhD Graduate from the University of Tennessee, KnoxvilleZweryfikowany adres z vols.utk.edu
Mohamed HasanSenior Machine Learning ScientistZweryfikowany adres z gaist.co.uk
Khaled ElGeneidyAssistant Professor, Program director, Coventry University branch in Egypt (TKH)Zweryfikowany adres z coventry.ac.uk
Asad J. KhattakBeaman Distinguished Professor of Civil & Environmental EngineeringZweryfikowany adres z utk.edu
Tommaso PardiUniversity of BirminghamZweryfikowany adres z student.bham.ac.uk
Amir GhalamzanAssociate Professor, University of SurreyZweryfikowany adres z surrey.ac.uk
Disha KamalePhD Student, Lehigh UniversityZweryfikowany adres z lehigh.edu
Ayse KucukyilmazAssociate Professor in Computer Science, University of Nottingham, UKZweryfikowany adres z nottingham.ac.uk
Jayant SinghUniversity of AgderZweryfikowany adres z uia.no
Morris AntonelloMachines With VisionZweryfikowany adres z machineswithvision.com
Majd HawaslyQCRI, Hamad Bin Khalifa UniversityZweryfikowany adres z hbku.edu.qa
Subramanian RamamoorthyProfessor of Robot Learning and Autonomy, School of Informatics, University of EdinburghZweryfikowany adres z ed.ac.uk

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Aravinda Ramakrishnan Srinivasan

RWTH Aachen University

Zweryfikowany adres z isac.rwth-aachen.de - Strona główna

Intelligent Transportation systems Machine learning algorithms Reinforcement learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Applying Markov decision process to understand driving decisions using basic safety messages data M Kamrani, AR Srinivasan, S Chakraborty, AJ Khattak Transportation Research Part C: Emerging Technologies 115, 102642, 2020	45	2020
Haptic-Guided Teleoperation of a 7-DoF Collaborative Robot Arm with an Identical Twin Master Jayant Singh, Aravinda Ramakrishnan Srinivasan, Ayse Kucukyilmaz, Gerhard ... IEEE Transactions on Haptics, 2020	38	2020
Explaining human interactions on the road by large-scale integration of computational psychological theory G Markkula, YS Lin, AR Srinivasan, J Billington, M Leonetti, AH Kalantari, ... PNAS nexus 2 (6), pgad163, 2023	34*	2023
Modeling and numerical simulations of the influenced Sznajd model FSN Karan, AR Srinivasan, S Chakraborty Physical Review E 96 (2), 022310, 2017	19	2017
Pedestrian dynamics with explicit sharing of exit choice during egress through a long corridor AR Srinivasan, FSN Karan, S Chakraborty Physica A: Statistical Mechanics and its Applications 468, 770-782, 2017	17	2017
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior? A Ramakrishnan Srinivasan, YS Lin, M Antonello, A Knittel, M Hasan, ... IEEE Transactions on Intelligent Transportation Systems, 2022	15*	2022
Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model AR Srinivasan, M Hasan, YS Lin, M Leonetti, J Billington, R Romano, ... 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021	14	2021
Grasping Unknown Objects Based on Gripper Workspace Spheres M Sorour, K Elgeneidy, AR Srinivasan, M Hanheide, G Neumann 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)., 2019	12	2019
Haptic-guided shared control grasping: collision-free manipulation S Parsa, D Kamale, S Mghames, K Nazari, T Pardi, AR Srinivasan, ... 2020 IEEE 16th international conference on automation science and …, 2020	9	2020
Using models based on cognitive theory to predict human behavior in traffic: A case study JF Schumann, AR Srinivasan, J Kober, G Markkula, A Zgonnikov 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023	8	2023
A Study of How Opinion Sharing Affects Emergency Evacuation AR Srinivasan, F Salimi Naneh Karan, S Chakraborty Social, Cultural, and Behavioral Modeling: 11th International Conference …, 2018	7	2018
Path planning with user route preference-A reward surface approximation approach using orthogonal Legendre polynomials AR Srinivasan, S Chakraborty 2016 IEEE International Conference on Automation Science and Engineering …, 2016	7	2016
A utility maximization model of pedestrian and driver interactions YS Lin, AR Srinivasan, M Leonetti, J Billington, G Markkula IEEE Access 10, 118888-118899, 2022	6	2022
Breaking Barriers: Workshop on Open Data Practices in AutoUI Research P Ebel, P Bazilinskyy, AHC Hwang, W Ju, H Sandhaus, AR Srinivasan, ... Adjunct Proceedings of the 15th International Conference on Automotive User …, 2023	4	2023
Modeling human road crossing decisions as reward maximization with visual perception limitations Y Wang, AR Srinivasan, JPP Jokinen, A Oulasvirta, G Markkula 2023 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2023	3	2023
The COMMOTIONS Urban Interactions Driving Simulator Study Dataset AR Srinivasan, J Schumann, Y Wang, YS Lin, M Daly, A Solernou, ... arXiv preprint arXiv:2305.11909, 2023	3	2023
Effect of network topology on the controllability of voter model dynamics using biased nodes AR Srinivasan, S Chakraborty 2014 American Control Conference, 2096-2101, 2014	3	2014
Pedestrian crossing decisions can be explained by bounded optimal decision-making under noisy visual perception Y Wang, AR Srinivasan, JPP Jokinen, A Oulasvirta, G Markkula arXiv preprint arXiv:2402.04370, 2024	2	2024
Enhancing Teleoperation for Nuclear Decomissioning A Smith, M Giuliani, M Sobhani, AR Srinivasan, M Hanheide, G Neumann, ... Legacy Disruptors in Applied Telerobotics: Improving the Machine, the …, 2019	2	2019
Changing Lanes Toward Open Science: Openness and Transparency in Automotive User Research P Ebel, P Bazilinskyy, M Colley, C Goodridge, P Hock, CP Janssen, ... AutomotiveUI'24: Proceedings of the 16th International Conference on …, 2024	1	2024

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