Zobrazeno 1 - 10
of 13 845
pro vyhledávání: '"SMITH, STEPHEN"'
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
We propose a data-driven receding-horizon control method dealing with the chance-constrained output-tracking problem of unknown stochastic linear time-invariant (LTI) systems with partial state observation. The proposed method takes into account the
Externí odkaz:
http://arxiv.org/abs/2312.15177