Resource Type

Journal Article 3

Year

2023 1

2004 2

Keywords

Black-box optimization 1

DWC-OVWP 1

FDTD 1

Human-robot interaction 1

Lower limb exoskeleton 1

Motion learning 1

Movement primitive 1

Trajectory generation 1

WDM 1

dynamic routing 1

link weight 1

optical filters 1

planar lightwave circuits 1

resonator 1

virtual wavelength path 1

wavelength conversion 1

open ︾

Search scope:

排序: Display mode:

One Novel Dynamic Routing and Wavelength Assignment Integrate Algorithm in WDM Optical Network

Li Lei,Tang Yong,Rao Min,Chen Yu,Jiang Jianfeng,Zhang Mingde,Sun Xiaohan

Strategic Study of CAE 2004, Volume 6, Issue 12,   Pages 73-77

Abstract:

Dynamic routing and wavelength assignment in the WDM networks with.both dynamic service traffic and

Keywords: dynamic routing     DWC-OVWP     wavelength conversion     virtual wavelength path     link weight    

GaAlAs/GaAs Planar Waveguide Filters Based on Cascade Rectangular Resonators

Cai Chun,Liu Xu,Xiao Jinbiao,Ma Changfeng,Chen Lin,Ding Dong,Zhang Mingde,Sun Xiaohan,Xu Xiaole,Chen Tangsheng,Li Fuxiao

Strategic Study of CAE 2004, Volume 6, Issue 2,   Pages 61-66

Abstract:

Based on the electromagnetic model for four-port resonant filter, the optical characteristics of several filters with rectangular cascade resonators have been numerically simulated by utilizing two-dimensional FDTD method. The relationship between the number of cascade resonators and the filtering features is analyzed. The narrow-band filter with four cascade resonators implemented on GaAlAs/GaAs planar waveguide is designed and fabricated. The experiment result shows the half-width of filtering spectrum for the chip is about 10 nm, which coincides well with that of the simulation.

Keywords: WDM     planar lightwave circuits     optical filters     resonator     FDTD    

Probabilistic movement primitive based motion learning for a lower limb exoskeleton with black-box optimization Research Article

Jiaqi WANG, Yongzhuo GAO, Dongmei WU, Wei DONG,wangjq@hit.edu.cn,gaoyongzhuo@hit.edu.cn,wdm@hit.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 104-116 doi: 10.1631/FITEE.2200065

Abstract: As a wearable robot, an exoskeleton provides a direct transfer of mechanical power to assist or augment the wearer’s movement with an anthropomorphic configuration. When an exoskeleton is used to facilitate the wearer’s movement, a motion generation process often plays an important role in high-level control. One of the main challenges in this area is to generate in real time a reference trajectory that is parallel with human intention and can adapt to different situations. In this paper, we first describe a novel motion modeling method based on probabilistic (ProMP) for a , which is a new and powerful representative tool for generating motion trajectories. To adapt the trajectory to different situations when the exoskeleton is used by different wearers, we propose a novel scheme based on (BBO) PI combined with ProMP. The motion model is first learned by ProMP offline, which can generate reference trajectories for use by exoskeleton controllers online. PI is adopted to learn and update the model for online , which provides the capability of adaptation of the system and eliminates the effects of uncertainties. Simulations and experiments involving six subjects using the HEXO demonstrate the effectiveness of the proposed methods.

Keywords: Lower limb exoskeleton     Human-robot interaction     Motion learning     Trajectory generation     Movement primitive     Black-box optimization    

Title Author Date Type Operation

One Novel Dynamic Routing and Wavelength Assignment Integrate Algorithm in WDM Optical Network

Li Lei,Tang Yong,Rao Min,Chen Yu,Jiang Jianfeng,Zhang Mingde,Sun Xiaohan

Journal Article

GaAlAs/GaAs Planar Waveguide Filters Based on Cascade Rectangular Resonators

Cai Chun,Liu Xu,Xiao Jinbiao,Ma Changfeng,Chen Lin,Ding Dong,Zhang Mingde,Sun Xiaohan,Xu Xiaole,Chen Tangsheng,Li Fuxiao

Journal Article

Probabilistic movement primitive based motion learning for a lower limb exoskeleton with black-box optimization

Jiaqi WANG, Yongzhuo GAO, Dongmei WU, Wei DONG,wangjq@hit.edu.cn,gaoyongzhuo@hit.edu.cn,wdm@hit.edu.cn

Journal Article