Results 231 to 240 of about 3,572,550 (313)

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

open access: yesAdvanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek   +3 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

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

open access: yesAdvanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince   +3 more
wiley   +1 more source

Virtual Screening and Design with Machine Intelligence Applied to Pim-1 Kinase Inhibitors. [PDF]

open access: yesMol Inform, 2020
Schneider P   +4 more
europepmc   +1 more source

Federated Machine Learning for Privacy-Preserving Predictive Analytics and Distributed Decision Intelligence

open access: hybrid
Sonali Mahure   +5 more
openalex   +2 more sources

Edible Pouch Motors

open access: yesAdvanced Robotics Research, EarlyView.
Edible robotics is an emerging field that leverages edible materials to construct robotic systems. This study presents a method to create thin, lightweight, yet powerful edible soft actuators, namely edible pouch motors. The successful operation of these edible actuators and grippers renders their potential to advance future developments in edible ...
Keigo Takahashi   +3 more
wiley   +1 more source

Artificial Intelligence and Machine Learning in Orthopedics: Current Applications, Limitations, and Future Directions in the Indian Context

open access: bronze
Jayanta Kumar Laik   +6 more
openalex   +1 more source

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