Follow
Cole Gulino
Cole Gulino
Waymo Motion Planning Research
Verified email at google.com
Title
Cited by
Cited by
Year
Spagnn: Spatially-aware graph neural networks for relational behavior forecasting from sensor data
S Casas, C Gulino, R Liao, R Urtasun
2020 IEEE International Conference on Robotics and Automation (ICRA), 9491-9497, 2020
203*2020
Implicit latent variable model for scene-consistent motion forecasting
S Casas, C Gulino, S Suo, K Luo, R Liao, R Urtasun
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1452020
The importance of prior knowledge in precise multimodal prediction
S Casas, C Gulino, S Suo, R Urtasun
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
432020
Generalizing informed sampling for asymptotically-optimal sampling-based kinodynamic planning via markov chain monte carlo
D Yi, R Thakker, C Gulino, O Salzman, S Srinivasa
2018 IEEE International Conference on Robotics and Automation (ICRA), 7063-7070, 2018
232018
Association and tracking for autonomous devices
S Gautam, BC Becker, C Vallespi-Gonzalez, CC Gulino
US Patent 11,348,339, 2022
202022
Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research
C Gulino, J Fu, W Luo, G Tucker, E Bronstein, Y Lu, J Harb, X Pan, ...
Advances in Neural Information Processing Systems 36, 2024
112024
Imitative planning using conditional normalizing flow
S Agarwal, H Sikchi, C Gulino, E Wilkinson, S Gautam
arXiv preprint arXiv:2007.16162, 2020
102020
The waymo open sim agents challenge
N Montali, J Lambert, P Mougin, A Kuefler, N Rhinehart, M Li, C Gulino, ...
Advances in Neural Information Processing Systems 36, 2024
62024
Systems and Methods for Latent Distribution Modeling for Scene-Consistent Motion Forecasting
S Casas, CC Gulino, SD Suo, KZ Luo, R Liao, R Urtasun
US Patent App. 18/519,976, 2024
2024
Systems and Methods for Training Probabilistic Object Motion Prediction Models Using Non-Differentiable Prior Knowledge
S Casas, CC Gulino, S Da Suo, R Urtasun
US Patent App. 18/495,434, 2024
2024
Providing actionable uncertainties in autonomous vehicles
CC Gulino, AR Ansari
US Patent 11,860,636, 2024
2024
Systems and methods for latent distribution modeling for scene-consistent motion forecasting
S Casas, CC Gulino, S Da Suo, KZ Luo, R Liao, R Urtasun
US Patent 11,842,530, 2023
2023
Systems and methods for training probabilistic object motion prediction models using non-differentiable prior knowledge
S Casas, CC Gulino, S Da Suo, R Urtasun
US Patent 11,836,585, 2023
2023
Systems and Methods for Generating Motion Forecast Data for Actors with Respect to an Autonomous Vehicle and Training a Machine Learned Model for the Same
R Urtasun, R Liao, S Casas, CC Gulino
US Patent App. 18/186,718, 2023
2023
Systems and methods for generating motion forecast data for actors with respect to an autonomous vehicle and training a machine learned model for the same
R Urtasun, R Liao, S Casas, CC Gulino
US Patent 11,636,307, 2023
2023
Providing actionable uncertainties in autonomous vehicles
CC Gulino, AR Ansari
US Patent 11,454,975, 2022
2022
Association and Tracking for Autonomous Devices
S Gautam, BC Becker, C Vallespi-Gonzalez, CC Gulino
US Patent App. 17/725,879, 2022
2022
SingleQuery Planners for Nonholonomic Systems
C Gulino, R Thakker, F Naina, BS Hanzra
Robot Autonomy
N Baheti, J Gandhi, C Gulino, K Ritter
The system can't perform the operation now. Try again later.
Articles 1–19