Zobrazeno 1 - 10
of 13 847
pro vyhledávání: '"SMITH, STEPHEN"'
Autor:
de Schaetzen, Rodrigue, Botros, Alexander, Zhong, Ninghan, Murrant, Kevin, Gash, Robert, Smith, Stephen L.
Ice conditions often require ships to reduce speed and deviate from their main course to avoid damage to the ship. In addition, broken ice fields are becoming the dominant ice conditions encountered in the Arctic, where the effects of collisions with
Externí odkaz:
http://arxiv.org/abs/2411.17155
Autonomous navigation in ice-covered waters poses significant challenges due to the frequent lack of viable collision-free trajectories. When complete obstacle avoidance is infeasible, it becomes imperative for the navigation strategy to minimize col
Externí odkaz:
http://arxiv.org/abs/2409.11326
We consider the problem of direct data-driven predictive control for unknown stochastic linear time-invariant (LTI) systems with partial state observation. Building upon our previous research on data-driven stochastic control, this paper (i) relaxes
Externí odkaz:
http://arxiv.org/abs/2409.05727
In this paper, we investigate the problem of decomposing 2D environments for robot coverage planning. Coverage path planning (CPP) involves computing a cost-minimizing path for a robot equipped with a coverage or sensing tool so that the tool visits
Externí odkaz:
http://arxiv.org/abs/2409.03120
Autor:
Chen, Hongrui, Joglekar, Aditya, Rubinstein, Zack, Schmerl, Bradley, Fedder, Gary, de Nijs, Jan, Garlan, David, Smith, Stephen, Kara, Levent Burak
Advances in CAD and CAM have enabled engineers and design teams to digitally design parts with unprecedented ease. Software solutions now come with a range of modules for optimizing designs for performance requirements, generating instructions for ma
Externí odkaz:
http://arxiv.org/abs/2409.03089
Autor:
Smith, Stephen, Zhou, Qing
Learning the structure of causal directed acyclic graphs (DAGs) is useful in many areas of machine learning and artificial intelligence, with wide applications. However, in the high-dimensional setting, it is challenging to obtain good empirical and
Externí odkaz:
http://arxiv.org/abs/2405.15358
Visibility is a crucial aspect of planning and control of autonomous vehicles (AV), particularly when navigating environments with occlusions. However, when an AV follows a trajectory with multiple occlusions, existing methods evaluate each occlusion
Externí odkaz:
http://arxiv.org/abs/2404.07781
Autor:
Ceballos, M. Teresa, Cardiel, Nicolás, Cobo, Beatriz, Smith, Stephen J., Witthoeft, Michael C., Peille, Philippe, Durkin, Malcolm S.
Publikováno v:
Exp Astron 57, 14 (2024)
The X-ray Integral Field Unit (X-IFU) instrument on the future ESA mission Athena X-ray Observatory is a cryogenic micro-calorimeter array of Transition Edge Sensor (TES) detectors designed to provide spatially-resolved high-resolution spectroscopy.
Externí odkaz:
http://arxiv.org/abs/2403.16965
Adaptive task planning is fundamental to ensuring effective and seamless human-robot collaboration. This paper introduces a robot task planning framework that takes into account both human leading/following preferences and performance, specifically f
Externí odkaz:
http://arxiv.org/abs/2401.01483
Publikováno v:
Robotics and Autonomous Systems, Volume 183, January 2025, 104821
Achieving effective and seamless human-robot collaboration requires two key outcomes: enhanced team performance and fostering a positive human perception of both the robot and the collaboration. This paper investigates the capability of the proposed
Externí odkaz:
http://arxiv.org/abs/2401.01466