Ram Vasudevan
Ram Vasudevan
Associate Professor of Robotics and Mechanical Engineering, University of Michigan
Verified email at - Homepage
Cited by
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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
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
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
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
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
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
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
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
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
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
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
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
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
Consistent Approximations for the Optimal Control of Constrained Switched Systems---Part 1: A Conceptual Algorithm
R Vasudevan, H Gonzalez, R Bajcsy, SS Sastry
SIAM Journal on Control and Optimization 51 (6), 4463-4483, 2013
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
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
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
Human-data based cost of bipedal robotic walking
AD Ames, R Vasudevan, R Bajcsy
Proceedings of the 14th international conference on Hybrid systems …, 2011
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