Ram Vasudevan
Ram Vasudevan
Associate Professor of Robotics and Mechanical Engineering, University of Michigan
Verified email at - Homepage
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Driving in the matrix: Can virtual worlds replace human-generated annotations for real world tasks?
M Johnson-Roberson, C Barto, R Mehta, SN Sridhar, K Rosaen, ...
IEEE Conference on Robotics and Automation, 746-753, 2017
Robot learning in homes: Improving generalization and reducing dataset bias
A Gupta, A Murali, DP Gandhi, L Pinto
Advances in neural information processing systems 31, 2018
Pairwise consistent measurement set maximization for robust multi-robot map merging
JG Mangelson, D Dominic, RM Eustice, R Vasudevan
2018 IEEE international conference on robotics and automation (ICRA), 2916-2923, 2018
Data-driven control of soft robots using Koopman operator theory
D Bruder, X Fu, RB Gillespie, CD Remy, R Vasudevan
IEEE Transactions on Robotics 37 (3), 948-961, 2020
Modeling and control of soft robots using the koopman operator and model predictive control
D Bruder, B Gillespie, CD Remy, R Vasudevan
Robotics: Science and Systems, 2019
Convex optimization of nonlinear feedback controllers via occupation measures
A Majumdar, R Vasudevan, MM Tobenkin, R Tedrake
The International Journal of Robotics Research 33 (9), 1209-1230, 2014
Semiautonomous vehicular control using driver modeling
VA Shia, Y Gao, R Vasudevan, KD Campbell, T Lin, F Borrelli, R Bajcsy
IEEE Transactions on Intelligent Transportation Systems 15 (6), 2696-2709, 2014
Bridging the gap between safety and real-time performance in receding-horizon trajectory design for mobile robots
S Kousik, S Vaskov, F Bu, M Johnson-Roberson, R Vasudevan
The International Journal of Robotics Research, 2020
Connected and automated road vehicles: state of the art and future challenges
T Ersal, I Kolmanovsky, N Masoud, N Ozay, J Scruggs, R Vasudevan, ...
Vehicle system dynamics 58 (5), 672-704, 2020
Failing to learn: Autonomously identifying perception failures for self-driving cars
MS Ramanagopal, C Anderson, R Vasudevan, M Johnson-Roberson
IEEE Robotics and Automation Letters 3 (4), 3860-3867, 2018
Occlusion-aware risk assessment for autonomous driving in urban environments
MY Yu, R Vasudevan, M Johnson-Roberson
IEEE Robotics and Automation Letters 4 (2), 2235-2241, 2019
Bitrap: Bi-directional pedestrian trajectory prediction with multi-modal goal estimation
Y Yao, E Atkins, M Johnson-Roberson, R Vasudevan, X Du
IEEE Robotics and Automation Letters 6 (2), 1463-1470, 2021
Nonlinear system identification of soft robot dynamics using koopman operator theory
D Bruder, CD Remy, R Vasudevan
2019 International Conference on Robotics and Automation (ICRA), 6244-6250, 2019
Safe semi-autonomous control with enhanced driver modeling
R Vasudevan, V Shia, Y Gao, R Cervera-Navarro, R Bajcsy, F Borrelli
2012 American Control Conference (ACC), 2896-2903, 2012
Bio-lstm: A biomechanically inspired recurrent neural network for 3-d pedestrian pose and gait prediction
X Du, R Vasudevan, M Johnson-Roberson
IEEE Robotics and Automation Letters 4 (2), 1501-1508, 2019
A descent algorithm for the optimal control of constrained nonlinear switched dynamical systems
H Gonzalez, R Vasudevan, M Kamgarpour, SS Sastry, R Bajcsy, ...
Proceedings of the 13th ACM international conference on Hybrid systems …, 2010
Unpredictability of escape trajectory explains predator evasion ability and microhabitat preference of desert rodents
TY Moore, KL Cooper, AA Biewener, R Vasudevan
Nature communications 8 (1), 440, 2017
Advantages of bilinear Koopman realizations for the modeling and control of systems with unknown dynamics
D Bruder, X Fu, R Vasudevan
IEEE Robotics and Automation Letters 6 (3), 4369-4376, 2021
Detecting generalized replay attacks via time-varying dynamic watermarking
M Porter, P Hespanhol, A Aswani, M Johnson-Roberson, R Vasudevan
IEEE Transactions on Automatic Control 66 (8), 3502-3517, 2020
High-quality visualization for geographically distributed 3-D teleimmersive applications
R Vasudevan, G Kurillo, E Lobaton, T Bernardin, O Kreylos, R Bajcsy, ...
IEEE Transactions on Multimedia 13 (3), 573-584, 2011
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