Abstract: Nivedita Arora: Collecting real-time, granular environmental data is essential for urban health, agriculture, and disaster prevention. However, it must be done sustainably, with minimal ...

Abstract: Vision-based tactile sensors have drawn increasing interest in the robotics community. However, traditional lens-based designs impose minimum thickness constraints on these sensors, limiting ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6221021 ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6245517 ...

Abstract: Hyperspectral image (HSI) classification has been extensively studied in the context of Earth observation. However, its application in Mars exploration remains limited. Although ...

Abstract: Power semiconductors are key enablers for highly efficient power conversion to address our global societal challenges. Silicon-based power devices have dominated the field for the past four ...

Abstract: Recent advances in sampling-based algorithms have enhanced the ability of mobile robots to navigate safely in environments with localization uncertainty. However, navigating narrow passages ...

Abstract: Trajectory prediction is significant for intelligent vehicles to achieve high-level autonomous driving, and a lot of relevant research achievements have been made recently. Despite the rapid ...

Abstract: This study explores the impact of copper clip design on the thermal performance of driver MOSFET (Dr.MOS) packages with the goal of optimizing heat dissipation efficiency in microelectronic ...

Abstract: This paper studies the large-scale cell-free networks where dense distributed access points (APs) serve many users. As a promising next-generation network architecture, cell-free networks ...

Abstract: The electromagnetic (EM) performance of radomes on high-speed flight vehicles is significantly degraded by the aerothermal heating load. To address this problem, a theoretical methodology ...

Abstract: Two-rotation-one-translation (2R1T) parallel robots, which is capable of providing high precision and stability even in very complex operating conditions, are suitable for hybrid machining ...