Design of a Humanoid Upper-Body Robot and Trajectory Tracking Control via ZNN with a Matrix Derivative Observer. [PDF]
Biomimetics (Basel)Yin H +6 more
europepmc +1 more source
A Hybrid Controller for a Soft Pneumatic Manipulator Based on Model Predictive Control and Iterative Learning Control. [PDF]
Sensors (Basel), 2023 Dai Y, Deng Z, Wang X, Yuan H.
europepmc +1 more source
Hierarchical Differentiable Fluid Simulation
Computer Graphics Forum, EarlyView.We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong +4 more
wiley +1 more source
Occupancy-Aware Neural Distance Perception for Manipulator Obstacle Avoidance in the Tokamak Vacuum Vessel. [PDF]
Sensors (Basel)Li F, Chou W.
europepmc +1 more source
Continuum Robots: From Conventional to Customized Performance Indicators. [PDF]
Biomimetics (Basel), 2023 Russo M +3 more
europepmc +1 more source
Multi‐Spectral Gaussian Splatting with Neural Color Representation
Computer Graphics Forum, EarlyView.Abstract 3D Gaussian Splatting (3DGS) [KKLD23] has transformed novel‐view synthesis from RGB images, yet remains restricted to the visible spectrum. Many applications, including agricultural monitoring, rely on multi‐spectral imaging, where spectral camera alignment and scalability pose major challenges.
Lukas Meyer +5 more
wiley +1 more source
Neural Simulation of Actions for Serpentine Robots. [PDF]
Biomimetics (Basel)Morasso P.
europepmc +1 more source
A Survey for Machine Learning-Based Control of Continuum Robots. [PDF]
Front Robot AI, 2021 Wang X, Li Y, Kwok KW.
europepmc +1 more source
When Universities Turn Carceral: Between Academic Freedom and Elimination
The British Journal of Sociology, EarlyView.
Gil Rothschild Elyassi
wiley +1 more source
Self‐supervised Learning of Fine‐to‐Coarse Cuboid Shape Abstraction
Computer Graphics Forum, EarlyView.Abstract The abstraction of 3D objects with simple geometric primitives like cuboids allows us to infer structural information from complex geometry. It is important for 3D shape understanding, structural analysis and geometric modeling. We introduce a novel fine‐to‐coarse self‐supervised learning approach to abstract collections of 3D shapes.
Gregor Kobsik +6 more
wiley +1 more source