Compliant bipedal robots demonstrate a potential for impact resistance and high energy efficiency through the introduction of compliant elements.However, it also adds to the difficulty of stable control of the robot.To motivate the control strategies of compliant bipedal robots, this work presents an improved control strategy for the stable and fas
The existence of three-dimensional effects at cracks has been known for many years, but understanding has been limited, and for some situations still is.Understanding improved when the existence of corner point singularities and their implications became known.Increasingly powerful computers made it possible to investigate three-dimensional Holiday
Self-supervised learning has great potential for the remote sensing domain, where unlabelled observations are abundant, but labels are hard to obtain.This work leverages unlabelled multi-modal remote sensing data for augmentation-free UPGRADED COLLAGEN contrastive self-supervised learning.Deep neural network models are trained to maximize the simil
The Polarimetric and Interferometric Synthetic Aperture Radar (POLINSAR) is widely used in urban area nowadays.Because of the physical and geometric sensitivity, the POLINSAR is suitable for the city classification, power-lines detection, building extraction, etc.As the new X-band POLINSAR radar, the china prototype airborne system, XSAR works with