Stebėti
Samuel Triest
Samuel Triest
Patvirtintas el. paštas andrew.cmu.edu - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
How does it feel? self-supervised costmap learning for off-road vehicle traversability
MG Castro, S Triest, W Wang, JM Gregory, F Sanchez, JG Rogers, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 931-938, 2023
622023
Tartandrive: A large-scale dataset for learning off-road dynamics models
S Triest, M Sivaprakasam, SJ Wang, W Wang, AM Johnson, S Scherer
2022 International Conference on Robotics and Automation (ICRA), 2546-2552, 2022
562022
Learning highway ramp merging via reinforcement learning with temporally-extended actions
S Triest, A Villaflor, JM Dolan
2020 IEEE Intelligent Vehicles Symposium (IV), 1595-1600, 2020
492020
Learning Risk-Aware Costmaps via Inverse Reinforcement Learning for Off-Road Navigation
S Triest, MG Castro, P Maheshwari, M Sivaprakasam, W Wang, S Scherer
2023 IEEE International Conference on Robotics and Automation (ICRA), 924-930, 2023
282023
Improving off-road planning techniques with learned costs from physical interactions
M Sivaprakasam, S Triest, W Wang, P Yin, S Scherer
2021 IEEE International Conference on Robotics and Automation (ICRA), 4844-4850, 2021
192021
Tartandrive 2.0: More modalities and better infrastructure to further self-supervised learning research in off-road driving tasks
M Sivaprakasam, P Maheshwari, MG Castro, S Triest, M Nye, S Willits, ...
2024 IEEE International Conference on Robotics and Automation (ICRA), 12606 …, 2024
172024
Rough terrain navigation using divergence constrained model-based reinforcement learning
SJ Wang, S Triest, W Wang, S Scherer, A Johnson
5th Annual Conference on Robot Learning, 2021
172021
PIAug--Physics Informed Augmentation for Learning Vehicle Dynamics for Off-Road Navigation
P Maheshwari, W Wang, S Triest, M Sivaprakasam, S Aich, JG Rogers III, ...
arXiv preprint arXiv:2311.00815, 2023
122023
UNRealNet: Learning uncertainty-aware navigation features from high-fidelity scans of real environments
S Triest, DD Fan, S Scherer, AA Agha-Mohammadi
2024 IEEE International Conference on Robotics and Automation (ICRA), 12627 …, 2024
32024
Deep bayesian future fusion for self-supervised, high-resolution, off-road mapping
S Aich, W Wang, P Maheshwari, M Sivaprakasam, S Triest, C Ho, ...
arXiv preprint arXiv:2403.11876, 2024
32024
Tartandrive 1.5: Improving large multimodal robotics dataset collection and distribution
M Sivaprakasam, S Triest, MG Castro, M Nye, M Maulimov, C Ho, ...
ICRA2023 Workshop on Pretraining for Robotics (PT4R), 2023
22023
Velociraptor: Leveraging Visual Foundation Models for Label-Free, Risk-Aware Off-Road Navigation
S Triest, M Sivaprakasam, S Aich, D Fan, W Wang, S Scherer
8th Annual Conference on Robot Learning, 2024
12024
SALON: Self-supervised Adaptive Learning for Off-road Navigation
M Sivaprakasam, S Triest, C Ho, S Aich, J Lew, I Adu, W Wang, S Scherer
arXiv preprint arXiv:2412.07826, 2024
2024
How Does It Feel? Self-Supervised Costmap Learning for Off-Road Vehicle Traversability
M Guaman Castro, S Triest, W Wang, JM Gregory, F Sanchez, ...
arXiv e-prints, arXiv: 2209.10788, 2022
2022
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