Results 191 to 200 of about 6,005,844 (276)

Flexible Sensors for Robotics Tactile Perception: A Review

open access: yesAdvanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source

Bio‐Inspired Object Retrieval via Proximity‐Guided Adaptive Thigmotactic Exploration and Neuromorphic Recognition

open access: yesAdvanced Robotics Research, EarlyView.
Sparse active‐infrared proximity sensing is coupled to an adaptive thigmotactic controller for camera‐inaccessible object retrieval. After grasping, receptor‐informed encoding transforms force, temperature, and wrist force–torque signals into spike trains for spiking neural network recognition.
Fengyi Wang, Nitish Thakor, Gordon Cheng
wiley   +1 more source

Origami‐Inspired Morphing Fuselage for Agile Fixed‐Wing Flight

open access: yesAdvanced Robotics Research, EarlyView.
Conventional aircraft steer with rigid control surfaces. SoAR instead replaces the fuselage itself with a cable‐driven origami continuum body that bends in 3D and compresses on demand. Whole‐fuselage morphing steers fixed‐wing flight: achieving sharp, near‐zero‐radius turns and rapid braking without ailerons, rudder, or elevator, while the same ...
Abudula Aihaitijiang, Cagdas D. Onal
wiley   +1 more source

Robotics in Ionizing Radiation Environments: Vulnerabilities, Hardening, and Future Directions

open access: yesAdvanced Robotics Research, EarlyView.
Radiation exposure causes cumulative degradation in robotic sensors, actuators, and electronic logic, often leading to undetected failures. This study maps component vulnerabilities, evaluates hardening and shielding strategies, and identifies testing gaps that must be addressed to enable next‐generation radiation‐tolerant robotic systems.
Francis A. K. Djirackor   +4 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy