Results 171 to 180 of about 1,962,165 (348)

Hard‐Magnetic Soft Millirobots in Underactuated Systems

open access: yesAdvanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang   +4 more
wiley   +1 more source

Emerging Technologies, Education, and Governance in Latin American Dentistry: Perspectives from Venezuela and Nicaragua. [PDF]

open access: yesInt Dent J
Zavarce Velasquez CD   +4 more
europepmc   +1 more source

Dual‐Functional Ingestible Passive Capsules for High‐Throughput Intestinal Sampling with Sealed Containment and Targeted Drug Delivery

open access: yesAdvanced Robotics Research, EarlyView.
To address challenges in high‐throughput intestinal sampling with sealed containment and target drug delivery, we developed a dual‐functional ingestible passive capsule with a dual‐triggered control system based on pH‐response and mechanical actuation.
Libing Huang   +9 more
wiley   +1 more source

Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a degradable soft magnetic composite made from recycled NdFeB particles embedded in a gelatin‐based organogel. The material is processed into magnetic sensors and soft robotic components, which can later be dissolved in a green solvent to recover NdFeB magnetic particles.
Muhammad Bilal Khan   +14 more
wiley   +1 more source

Better Law-making and Evaluation for the EU Digital Rulebook

open access: green
Marco Bassini   +2 more
openalex   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

open access: yesAdvanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao   +4 more
wiley   +1 more source

The Many Faces of Indeterminacy in Interactive Deadbots. [PDF]

open access: yesPhilos Technol
Kozlovski A, Harbinja E, Dobbe R.
europepmc   +1 more source

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