Results 121 to 130 of about 1,871 (255)

A Pilot and Feasibility Study of a Four‐Stage Neurological Staging Framework in Pediatric Tracheal Extubation During Anesthesia Emergence

Pediatric Anesthesia, EarlyView.
ABSTRACT Background Postoperative tracheal extubation is a particularly high‐risk period in pediatric anesthesia. Because emergence from anesthesia is a complex and complicated process, determining the optimal timing for safe tracheal extubation remains challenging.
Megumi Okuyama, Katsuhiko Ishibashi, Shiori Nakao, Tomoharu Ukiya, Kohei Takahashi, Taiki Kojima   +5 more
wiley   +1 more source

A dramaturgy of uncertainty: Transdisciplinary manoeuvres across forestry and theatre

People and Nature, EarlyView.
Abstract The uncertainties of climate change mean that forestry adaptation strategies are often complex and contested. Research has suggested that there is an interest in the forestry sector for facilitated dialogue about uncertainty (de Pellegrin Llorente et al., 2023).
Rachel Clive, Deirdre Heddon, Jordan Rydlewski, David Edwards, Chris Fremantle   +4 more
wiley   +1 more source

Incidence of concussion in intercollegiate wheelchair basketball athletes

PM&R, EarlyView.
Abstract Background Concussion surveillance in adaptive sports is essential for improving athlete safety and informing prevention strategies, yet existing data remain limited. To our knowledge, this is the first longitudinal investigation of concussion incidence in athletes with disability across multiple seasons.
Alexander Kowalske, Lindsey Kim, Kristen Santiago, Xiaoyu Norman Pan, Stephen Urias, Donald Kasitinon   +5 more
wiley   +1 more source

String‐Stable Platooning Control of Connected Automated Vehicles Under Non‐Uniform Stochastic Communication Delays

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper is concerned with the platooning control problem of connected automated vehicles (CAVs) under non‐uniform stochastic vehicle‐to‐vehicle (V2V) communication delays. Most existing relevant studies assume uniform or deterministic or slowly varying delays, or design platoon controllers based on worst‐case delay bounds, resulting in ...
Dengfeng Pan, Xiaohua Ge, Derui Ding, Xian‐Ming Zhang   +3 more
wiley   +1 more source

Sliding Mode Control in Aerospace Applications: A Survey

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Sliding mode control (SMC) enjoys robustness to matched and unmatched (in the case of minimum phase input‐output dynamics) bounded perturbations, and finite time convergence. Second‐order and higher‐order sliding mode control systems (2‐SMC/HOSMC) retain all the advantages of sliding mode control, but in addition can be applied to systems of ...
Yuri Shtessel, Christopher Edwards
wiley   +1 more source

Nonlinear Receding‐Horizon Differential Game for Drone Racing Along a Three‐Dimensional Path

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Drone racing requires high‐speed navigation through three‐dimensional paths, posing significant challenges in control engineering. Existing control methods lack a feedback control framework that simultaneously addresses nonlinear drone dynamics and multi‐agent competitive interactions, such as overtaking or obstructing opponents.
Kijin Sung, Kenta Hoshino, Akihiko Honda, Takeya Shima, Toshiyuki Ohtsuka   +4 more
wiley   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi, Alberto Topini, Alessandro Bucci, Alessandro Ridolfi   +3 more
wiley   +1 more source

From Flybys to Sample Return: A Review of Space Probes and Robotic Sampling Technologies for Small Bodies

Journal of Field Robotics, EarlyView.
ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang, Hao Zhou, Dalin Zhou, Zhaojie Ju   +3 more
wiley   +1 more source

Deep Reinforcement Learning Based Autonomous Decision‐Making for Cooperative Uncrewed Aerial Vehicles: A Search and Rescue Real World Application

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents the first end‐to‐end framework that combines guidance, navigation, and centralized task allocation for multiple UAVs performing autonomous search‐and‐rescue (SAR) in GNSS‐denied indoor environments. A twin delayed deep deterministic policy gradient controller is trained with an artificial potential field (APF) reward that ...
Thomas Hickling, Maxwell Hogan, Abdulla Tammam, Nabil Aouf   +3 more
wiley   +1 more source

Outracing a National Level Model Racing Car Champion: A Hybrid Model‐Based Data‐Driven Approach

Journal of Field Robotics, EarlyView.
ABSTRACT This paper discusses lap time optimization, focusing on a single lap without considering opponents in autonomous racing. The paper presents a control and optimization architecture composed of a model‐based low level controller and a higher level iterative learning algorithm with the goal of obtaining the fastest qualifying lap in autonomous ...
Mustafa Alp, Matteo Corno, Giulio Panzani, Sergio Matteo Savaresi   +3 more
wiley   +1 more source