End-to-end velocity estimation for autonomous racing S Srinivasan, I Sa, A Zyner, V Reijgwart, MI Valls, R Siegwart IEEE Robotics and Automation Letters 5 (4), 6869-6875, 2020 | 39 | 2020 |
Diesel engine cylinder deactivation for improved system performance over transient real-world drive cycles M Joshi, D Gosala, C Allen, S Srinivasan, A Ramesh, M VanVoorhis, ... SAE Technical Paper, 2018 | 32 | 2018 |
A Holistic Motion Planning and Control Solution to Challenge a Professional Racecar Driver S Srinivasan, SN Giles, A Liniger IEEE Robotics and Automation Letters 6 (4), 7854-7860, 2021 | 29 | 2021 |
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula E Bronstein, S Srinivasan, S Paul, A Sinha, M O'Kelly, P Nikdel, ... 6th Annual Conference on Robot Learning, 2022 | 15 | 2022 |
Posetal Games: Efficiency, Existence, and Refinement of Equilibria in Games With Prioritized Metrics A Zanardi, G Zardini, S Srinivasan, S Bolognani, A Censi, F Dörfler, ... IEEE Robotics and Automation Letters 7 (2), 1292-1299, 2021 | 14 | 2021 |
Hierarchical Imitation Learning for Stochastic Environments M Igl, P Shah, P Mougin, S Srinivasan, T Gupta, B White, K Shiarlis, ... 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | 1 | 2023 |
Vehicle path planning BC Floor, J Kabzan, S Srinivasan US Patent App. 17/147,426, 2022 | 1 | 2022 |
Latent Hierarchical Imitation Learning for Stochastic Environments M Igl, P Shah, P Mougin, S Srinivasan, T Gupta, B White, K Shiarlis, ... | 1 | |