Abstract: With previously unattainable performance metrics like terabit-per-second data rates, extremely low latency, and ubiquitous coverage, the next sixth-generation (6G) wireless communication ...

Abstract: Soft origami continuum robots show great potential compared with traditional rigid robots because of their hyper-redundant deformation. However, motion control of these robots remains ...

Abstract: Although the problem of determining the minimum cost path through a graph arises naturally in a number of interesting applications, there has been no underlying theory to guide the ...

Abstract: Ultra-wideband (UWB) through-wall radar has a wide range of applications in non-contact human information detection and monitoring. With the integration of machine learning technology, its ...

Abstract: This paper describes the methods employed in the floating-point area of the System/360 Model 91 to exploit the existence of multiple execution units. Basic to these techniques is a simple ...

Abstract: Accurate state of charge (SoC) estimation of lithium-ion batteries has always been a challenge over a wide life scale. In this paper, we proposed a SoC estimation method considering Coulomb ...

Abstract: Training deep reinforcement learning (RL) agents necessitates overcoming the highly unstable nonconvex stochastic optimization inherent in the trial-and ...

Abstract: Electric vehicle charging platforms in the market are usually rated as 400 V or 800 V, so the wireless charging system of electric vehicles must effectively supply power for these two ...

Abstract: The extraction of large-scale farmland is essential for optimizing agricultural production and advancing sustainable development. To meet the urgent need for efficient farmland extraction ...

Abstract: Multi-modality fusion strategy is currently the de-facto most competitive solution for 3D perception tasks. In this work, we present a new framework termed BEVFormer, which learns unified ...

Abstract: This article presents a wearable soft robotic supporter with the function of changeable stiffness for supporting human upper limbs. We employ chain mails as the jamming media to achieve a ...

Abstract: This article proposes a hierarchical control and learning (HCL) network to implement multitask hierarchical control and physical parameter estimation for the redundant manipulator. This ...