Zobrazeno 1 - 10
of 1 107
pro vyhledávání: '"P. Spieler"'
Rapid autonomous traversal of unstructured terrain is essential for scenarios such as disaster response, search and rescue, or planetary exploration. As a vehicle navigates at the limit of its capabilities over extreme terrain, its dynamics can chang
Externí odkaz:
http://arxiv.org/abs/2412.00581
Autor:
Atha, Deegan, Lei, Xianmei, Khattak, Shehryar, Sabel, Anna, Miller, Elle, Noca, Aurelio, Lim, Grace, Edlund, Jeffrey, Padgett, Curtis, Spieler, Patrick
Off-road environments pose significant perception challenges for high-speed autonomous navigation due to unstructured terrain, degraded sensing conditions, and domain-shifts among biomes. Learning semantic information across these conditions and biom
Externí odkaz:
http://arxiv.org/abs/2411.06632
Autor:
Nissov, Morten, Edlund, Jeffrey A., Spieler, Patrick, Padgett, Curtis, Alexis, Kostas, Khattak, Shehryar
Enabling robot autonomy in complex environments for mission critical application requires robust state estimation. Particularly under conditions where the exteroceptive sensors, which the navigation depends on, can be degraded by environmental challe
Externí odkaz:
http://arxiv.org/abs/2409.10953
Autor:
Patel, Manthan, Frey, Jonas, Atha, Deegan, Spieler, Patrick, Hutter, Marco, Khattak, Shehryar
Autonomous robot navigation in off-road environments requires a comprehensive understanding of the terrain geometry and traversability. The degraded perceptual conditions and sparse geometric information at longer ranges make the problem challenging
Externí odkaz:
http://arxiv.org/abs/2409.10940
Autor:
Vlahov, Bogdan, Gibson, Jason, Fan, David D., Spieler, Patrick, Agha-mohammadi, Ali-akbar, Theodorou, Evangelos A.
Publikováno v:
IEEE Robotics and Automation Letters, vol. 9, no. 5, pp.4543-4550, 2024
Sampling-based model-predictive controllers have become a powerful optimization tool for planning and control problems in various challenging environments. In this paper, we show how the default choice of uncorrelated Gaussian distributions can be im
Externí odkaz:
http://arxiv.org/abs/2404.03094
Autor:
Frey, Jonas, Patel, Manthan, Atha, Deegan, Nubert, Julian, Fan, David, Agha, Ali, Padgett, Curtis, Spieler, Patrick, Hutter, Marco, Khattak, Shehryar
Autonomous navigation at high speeds in off-road environments necessitates robots to comprehensively understand their surroundings using onboard sensing only. The extreme conditions posed by the off-road setting can cause degraded camera image qualit
Externí odkaz:
http://arxiv.org/abs/2402.19341
Autor:
Spieler, Ryan C.
In recent years, the concept of global symmetry has generalized considerably. Two dramatic examples of this generalization are the exotic symmetries that govern theories with fractons and non-invertible symmetries, which do not fuse according to a gr
Externí odkaz:
http://arxiv.org/abs/2402.14944
Autor:
Chung, Chanyoung, Georgakis, Georgios, Spieler, Patrick, Padgett, Curtis, Agha, Ali, Khattak, Shehryar
Understanding terrain topology at long-range is crucial for the success of off-road robotic missions, especially when navigating at high-speeds. LiDAR sensors, which are currently heavily relied upon for geometric mapping, provide sparse measurements
Externí odkaz:
http://arxiv.org/abs/2401.17484
Autor:
Nissov, Morten, Khattak, Shehryar, Edlund, Jeffrey A., Padgett, Curtis, Alexis, Kostas, Spieler, Patrick
Reliable offroad autonomy requires low-latency, high-accuracy state estimates of pose as well as velocity, which remain viable throughout environments with sub-optimal operating conditions for the utilized perception modalities. As state estimation r
Externí odkaz:
http://arxiv.org/abs/2401.17404
Biological cortical neurons are remarkably sophisticated computational devices, temporally integrating their vast synaptic input over an intricate dendritic tree, subject to complex, nonlinearly interacting internal biological processes. A recent stu
Externí odkaz:
http://arxiv.org/abs/2306.16922