Results 221 to 230 of about 164,389 (293)

A High‐Precision and Robust Geometric Relationships‐Inspired Neural Network for the Inverse Kinematic Modeling of the Tendon‐Actuated Continuum Manipulator

open access: yesAdvanced Intelligent Systems, EarlyView.
An online learning control framework with a data cache pool based on a constant‐curvature model inspired neural network (CCMINN) model to obtain the inverse kinematics model of tendon‐actuated continuum manipulators is proposed. Combining the fast‐converging CCMINN with an online learning control framework enables high‐precision and highly robust ...
Jinyu Duan   +5 more
wiley   +1 more source

An alternative pattern of head expansion during feeding in cichlids. [PDF]

open access: yesCommun Biol
De Ridder J   +6 more
europepmc   +1 more source

The Adaptive Trajectory of the Normal Force Vector in the Polishing of Curved Surface Component Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
This study uses iterative learning control and voice coil motor to keep normal force constant in curved surface polishing. A mechanism‐data fusion model adjusts robotic posture via real‐time feedback for adaptive tracking control of normal force vector direction.
Jiale Xu   +3 more
wiley   +1 more source

Ultrafast Untethered Levitation Device Utilized Squeeze Film for Omni‐Directional Transport

open access: yesAdvanced Intelligent Systems, EarlyView.
Untethered levitation device (106 g, 95 × 72 × 45 mm3) on squeeze film is generated by a piezoelectric actuator with onboard electronics (77 g). It achieves frictionless and omnidirectional movement over 1.4 and 3.0 ms−1 on horizontal and inclined surfaces respectively.
Yuta Sunohara   +8 more
wiley   +1 more source

Self‐Organized Multitarget Pursuit in Multi‐Unmanned Aerial Vehicle Systems via Hierarchical Probabilistic Graphical Models

open access: yesAdvanced Intelligent Systems, EarlyView.
Multi‐UAV systems face challenges in adversarial environments due to limited adaptability and interpretability. This study proposes a self‐organized approach using hierarchical probabilistic graphical models with density‐driven parameter estimation.
Yixin Huang   +5 more
wiley   +1 more source

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