Results 191 to 200 of about 2,223,831 (310)

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

open access: yesAdvanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett   +5 more
wiley   +1 more source

Gait Analysis of Pak Biawak: A Necrobot Lizard Built using the Skeleton of an Asian Water Monitor (Varanus Salvator)

open access: yesAdvanced Robotics Research, EarlyView.
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

Biochar‐Iron Oxide Composites for Adsorption of Chlorophenoxy Herbicides: Impact of Chlorine Substituents on Bath and Continuous Adsorption Performance

open access: yesAdvanced Sustainable Systems, EarlyView.
Iron oxide‐impregnated biochar from sugarcane bagasse exhibits remarkable efficiency in removing 2,4‐dichlorophenoxyacetic acid and chlorophenoxyacetic acid, offering a sustainable option for water purification. The material retains high performance under real conditions while meeting safety criteria for irrigation use. Distinct structural features and
Thamiris Ferreira Souza   +9 more
wiley   +1 more source

Data‐Driven Multi‐Objective Optimization of Large‐Diameter Si Floating‐Zone Crystal Growth

open access: yesAdvanced Theory and Simulations, EarlyView.
This study presents a surrogate‐based Multi‐Objective Optimization framework for Floating Zone silicon crystal growth. An ensemble of Neural Networks is trained on simulation data and combined with Genetic Algorithms to explore trade‐offs in process parameters.
Lucas Vieira   +3 more
wiley   +1 more source

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