Results 111 to 120 of about 6,058 (264)
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Annotation. A universal law is presented that describes the evolution of physical systems through a dimensionless exponent. The law combines quantum, classical and relativistic phenomena, including critical points: (quantum coherence), (bifurcation), (topological collapse).
openaire +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source
RSS (http://www.iaees.org/publications/journals/nb/rss.xml)
Network Biology ISSN 2220-8879
Network Biology (ISSN 2220-8879)
doaj
3D‐Printing Aided Rapid Prototyping of Pretensioned Tensegrity Structures for Robotic Applications
Printing, injection molding, and assembly (PMA) is a method for rapid prototyping mesoscale, topologically complex, and tensioned tensegrity structures. In combination with PMA method, two mold design strategies: modular mold and compact channel layout, enable efficiency and scalability for tensegrity fabrication.
Yi Sun +3 more
wiley +1 more source
Network Biology (http://www.iaees.org/publications/journals/nb/online-version.asp)
Network Biology ISSN 2220-8879
networkbiology@iaees.org
doaj
This comprehensive treatise formalizes the foundational mechanics of generative recursive architectures driven by the non-linear expansion function $G(n)=\mathbf{I}_0\cdot(k\cdot\psi)^n$. Moving beyond localized mathematical models, this article establishes the structural invariants of recursive information systems across all branches of the natural ...
openaire +1 more source
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Nonreciprocal Swarmalators With Reconfigurable and Controllable Formations for Robot Collectives
Nonreciprocal swarmalator interactions are enabled through control barrier functions to transform self‐organizing robot collectives into reconfigurable, constraint‐aware systems. Complex two‐ and three‐dimensional shapes, continuous morphing, obstacle‐aware navigation, collective splitting, and object transport emerge from modulating agent‐level ...
Kush Patel +3 more
wiley +1 more source

