Results 131 to 140 of about 1,830,967 (336)
An Environment Recognition Algorithm for Staircase Climbing Robots
For deformed wheel-based staircase-climbing robots, the accuracy of staircase step geometry perception and scene mapping are critical factors in determining whether the robot can successfully ascend the stairs and continue its task.
Yanjie Liu +3 more
doaj +1 more source
Lie point symmetries of near-horizon geometry equation [PDF]
E. Buk +2 more
openalex +1 more source
Experimental Analysis and Physics‐Based Analytical Model on Twisted and Coiled Artificial Muscles
Twisted and coiled artificial muscles made from silver‐coated nylon fibers are investigated through experiments and analytical modeling. The actuators achieve contractions up to 19.3% and specific work of 8 kJ kg−1, though efficiency remains limited (≈0.15%) by thermal losses.
Salvatore Garofalo +3 more
wiley +1 more source
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley +1 more source
The rôle of the point-set theory in geometry and dynamics [PDF]
Edward B. Van Vleck
openalex +1 more source
This study examines how several molten high‐silicon electrical steels interact with both conventional and recycled MgO–C refractories. For this, various immersion experiments are conducted. In addition to infiltration, a number of mechanisms are identified and explained that control the corrosion of the refractory material.
Lukas Neubert +7 more
wiley +1 more source
A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment [PDF]
Alireza Javaheri +3 more
openalex +1 more source
Learned Point Cloud Geometry Compression
This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (a.k.a., Learned-PCGC) framework, to efficiently compress the point cloud geometry (PCG) using deep neural networks (DNN) based variational autoencoders (VAE). In our approach, PCG is first voxelized, scaled and partitioned into non-overlapped 3D cubes, which is then fed ...
Wang, Jianqiang +5 more
openaire +2 more sources
Robot‐Assisted Automated Serial‐Sectioning and Imaging for 3D Microstructural Investigations
A fully automated 3D microstructure characterization platform provides new insights into materials. This robot‐assisted system performs serial‐sectioning, etching, and optical imaging to generate large‐volume 3D reconstructions with submicron resolution.
Michael Moschetti +7 more
wiley +1 more source

