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  2023 (1)
Pay Attention to How You Drive: Safe and Adaptive Model-Based Reinforcement Learning for Off-Road Driving. Wang, S. J.; Zhu, H.; and Johnson, A. M. In arXiv:2310.08674 [cs.RO], 2023. Under review
Pay Attention to How You Drive: Safe and Adaptive Model-Based Reinforcement Learning for Off-Road Driving [link] info   Pay Attention to How You Drive: Safe and Adaptive Model-Based Reinforcement Learning for Off-Road Driving [pdf] pdf   link   bibtex   36 downloads  
  2022 (2)
Environmental Sampling with the Boustrophedon Decomposition Algorithm. He, H.; Norby, J.; Wang, S.; Sihota, N.; Hoelen, T. P.; Lowry, G. V.; and Johnson, A. M. Technical Report arXiv:2207.06209 [cs.RO], arXiv, 2022.
Environmental Sampling with the Boustrophedon Decomposition Algorithm [link] info   Environmental Sampling with the Boustrophedon Decomposition Algorithm [link] pdf   link   bibtex   8 downloads  
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models. Triest, S.; Sivaprakasam, M.; Wang, S. J.; Wang, W.; Johnson, A. M.; and Scherer, S. In IEEE Intl.\ Conference on Robotics and Automation, pages 2546–2552, Philadelphia, PA, May 2022.
TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models [link] pdf   TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models [link] video   TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models [link] dataset   TartanDrive: A Large-Scale Dataset for Learning Off-Road Dynamics Models [link] doi   link   bibtex   11 downloads  
  2021 (2)
Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning. Wang, S. J.; Triest, S.; Wang, W.; Scherer, S.; and Johnson, A. M. In Conference on Robot Learning, volume 164, of Proceedings of Machine Learning Research, pages 224–233, November 2021.
Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning [link] publisher   Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning [pdf] pdf   Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning [link] poster   Rough Terrain Navigation Using Divergence Constrained Model-Based Reinforcement Learning [link] video   link   bibtex   95 downloads  
Domain Adaptation Using System Invariant Dynamics Models. Wang, S. J.; and Johnson, A. M In Learning for Dynamics and Control, pages 1130–1141, 2021. PMLR
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  2020 (4)
Ground-based Robots for Soil Collection and Analysis. Wang, S.; Nava, V.; Jones, N.; Lowry, G.; and Johnson, A. M. In American Geophysical Union (AGU) Fall Meeting, December 2020.
Ground-based Robots for Soil Collection and Analysis [link] poster   link   bibtex   50 downloads  
Ground-based Robots for Soil Collection and Analysis. Wang, S.; Nava, V.; Jones, N.; Lowry, G.; and Johnson, A. M. In American Geophysical Union (AGU) Fall Meeting, December 2020.
Ground-based Robots for Soil Collection and Analysis [link] poster   link   bibtex   50 downloads  
Contact Localization using Velocity Constraints. Wang, S. J.; Bhatia, A.; Mason, M. T.; and Johnson, A. M. In Proceedings of the IEEE/RSJ Intl.\ Conference on Intelligent Robots and Systems, Las Vegas, NV, Oct. 2020.
Contact Localization using Velocity Constraints [pdf] pdf   Contact Localization using Velocity Constraints [link] video   link   bibtex   98 downloads  
Contact Localization for Transparent Robots using Velocity Constraints. Wang, S. J.; Bhatia, A.; Mason, M. T.; and Johnson, A. M. In Dynamic Walking, May 2020.
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  2019 (1)
Traversability Analysis for Highly Maneuverable Wheeled Robots. Wang, L.; Wang, S.; and Johnson, A. M. Technical Report CMU Robotics Institute Summer Scholars Working Papers Journal, 2019.
Traversability Analysis for Highly Maneuverable Wheeled Robots [pdf] pdf   Traversability Analysis for Highly Maneuverable Wheeled Robots [pdf] poster   link   bibtex   29 downloads  
  2017 (2)
Cloud-supported coverage control for persistent surveillance missions. Peters, J. R; Wang, S. J; Surana, A.; and Bullo, F. Journal of Dynamic Systems, Measurement, and Control, 139(8). 2017.
Cloud-supported coverage control for persistent surveillance missions [link]Paper   link   bibtex   2 downloads  
Coverage control with anytime updates for persistent surveillance missions. Peters, J. R; Wang, S. J; and Bullo, F. In 2017 American Control Conference (ACC), pages 265–270, 2017. IEEE
Coverage control with anytime updates for persistent surveillance missions [link]Paper   link   bibtex   2 downloads