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: Cross-linked polyethylene (XLPE) is a crucial insulating material for cables Partial discharge (PD) and electrical treeing are key parameters for characterizing the state of XLPE. Studies ...

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: 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: Dual-arm robots possess exceptional collaborative capabilities and versatility, demonstrating broad application prospects across various fields. As a significant research area for dual-arm ...

Abstract: Harvesting energy from human motion and converting it into electrical energy produces power that can replace batteries or serve as an emergency power source for smart wearable electronic ...

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: 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: 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: Identifying wildfire burned areas using satellite images is significant for effectively monitoring the status of forests. The full utilization of multi-source satellite images that provide ...

Abstract: EEG emotion recognition is crucial in both human-machine interaction and healthcare. However, recognizing emotions across different subjects remains challenging due to individual variability ...