Results 151 to 160 of about 335,930 (310)
Implementable tensor methods in unconstrained convex optimization. [PDF]
Nesterov Y.
europepmc +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Tikhonov Regularization for Stochastic Non-Smooth Convex Optimization in Hilbert Spaces [PDF]
Rodrigo Maulen-Soto +2 more
openalex +1 more source
Reduced-Order Nonlinear Observers via Contraction Analysis and Convex Optimization [PDF]
Bowen Yi +2 more
openalex +1 more source
Soft Robotic Snake with Tunable Undulatory Gait for Efficient Underwater Locomotion
This study designs an underwater soft snake robot using 3D‐printed soft actuators, controlled by specific signals to generate sinusoidal undulation. Results show a positive correlation between speed and swing amplitude, with optimal performance at 2/3π phase offset, PLA tail, 1.2 voltage growth rate, and 6s undulation period achieving a maximum speed ...
Huichen Ma, Junjie Zhou, Raye Yeow
wiley +1 more source
A Convex Stochastic Optimization Problem Arising from Portfolio Selection
Hanqing Jin, Zuo Quan Xu, Xun Yu Zhou
openalex +1 more source
Reconstruction of Relative Phase of Self-Transmitting Devices by Using Multiprobe Solutions and Non-Convex Optimization. [PDF]
Tena Sánchez R +4 more
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
La tesi affronta le tematiche inerenti ai problemi di ottimizzazione e principalmente il problema dell’ottimizzazione convessa. Partendo da un problema primale si introducono i concetti chiave di funzione Lagrangiana e funzione duale di Lagrange. Viene affrontato poi il Problema duale di Lagrange soffermandosi sull’interpretazione geometrica del ...
openaire +3 more sources
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
wiley +1 more source

