Gaussianmorph: deformable medical image registration with Gaussian noise constraints. [PDF]
Zhang R +12 more
europepmc +1 more source
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
Cross-attention mechanism-based spectrum sensing in generalized Gaussian noise. [PDF]
Xi H, Guo W, Yang Y, Yuan R, Ma H.
europepmc +1 more source
Edge-guided second-order total generalized variation for Gaussian noise removal from depth map. [PDF]
Li S, Zhang B, Yang X, Zhu W.
europepmc +1 more source
Hard‐Magnetic Soft Millirobots in Underactuated Systems
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
The Expected Peak-to-Average Power Ratio of White Gaussian Noise in Sampled I/Q Data. [PDF]
Wunderlich A, Sanders A.
europepmc +1 more source
The integration of Gaussian noise by long-range amygdala inputs in frontal circuit promotes fear learning in mice. [PDF]
Aime M +7 more
europepmc +1 more source
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang +5 more
wiley +1 more source
Noise suppression ability and its mechanism analysis of scale-free spiking neural network under white Gaussian noise. [PDF]
Guo L, Kan E, Wu Y, Lv H, Xu G.
europepmc +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source

