Results 261 to 270 of about 2,393,512 (361)

Sensorless Human–Robot Interaction: Real‐Time Estimation of Co‐Grasped Object Mass and Human Wrench for Compliant Interaction

open access: yesAdvanced Intelligent Systems, EarlyView.
To tackle the challenge of parameter estimation in dynamic human–robot interaction, this research proposes a novel method that integrates a disturbance observer with Kalman filtering. In contrast to conventional techniques, this approach facilitates the simultaneous real‐time estimation of human wrench and object parameters, offering significantly ...
Minghao Bai   +5 more
wiley   +1 more source

Machine Learning‐Assisted Simulations and Predictions for Battery Interfaces

open access: yesAdvanced Intelligent Systems, EarlyView.
This review summarizes machine learning (ML)‐assisted simulations and predictions at battery interfaces. It highlights how employing ML algorithms with machine vision, enables the lithium dendrite growth simulation, the solid–electrolyte interphase formation, and other interfacial dynamics.
Zhaojun Sun   +4 more
wiley   +1 more source

New National Network of Experts (Japan Pelvic Exenteration Network: J‐PEN) Formed in a Bid to Improve Outcomes of Pelvic Exenteration in Japan

open access: yes
Annals of Gastroenterological Surgery, EarlyView.
Hideaki Yano   +9 more
wiley   +1 more source

Implementation of a Biologically Inspired Responsive Joint Attention System for a Social Robot

open access: yesAdvanced Intelligent Systems, EarlyView.
This work introduces a responsive joint attention system in the social robot Mini, enabling dynamic, human‐like responses based on the user's head, body, and gaze. The system enhances user engagement and robot responsiveness. An experiment reveals significant improvements in social presence when the system is active, validating its effectiveness in ...
Jesús García‐Martínez   +4 more
wiley   +1 more source

Bioinspired Tactile Object Identification Leveraging Deep Learning and Soft Body Compliance

open access: yesAdvanced Intelligent Systems, EarlyView.
Herein, it is demonstrated that a soft robotic hand, integrated with low‐resolution tactile sensors, can effectively identify a variety of objects with high accuracy by combining multi‐grasp information. Central to this approach is the development of ROSE‐Net, a specialized neural network designed to harness the data from multiple grasps.
Oliver Shorthose   +3 more
wiley   +1 more source

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