Results 81 to 90 of about 15,138 (216)

Harnessing Deep Learning of Point Clouds for Morphology Mimicking of Universal 3D Shape‐Morphing Devices

open access: yesAdvanced Intelligent Systems, EarlyView.
Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang   +3 more
wiley   +1 more source

Deep Q‐Network‐Based Hierarchical Path Planning of a Biped Wall‐Climbing Robot for Window Cleaning

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents a biped wall‐cleaning climbing robotic system for the maintenance of multi‐isolated areas on exoskeleton‐structured windows (ESWs). A full coverage cleaning approach is proposed by integrating a deep Q‐network‐based method with the robotic system to address the complete coverage cleaning path planning problem.
Weijian Zhang   +3 more
wiley   +1 more source

Fairness in Federated Learning: Trends, Challenges, and Opportunities

open access: yesAdvanced Intelligent Systems, EarlyView.
This survey delves into the intricate issues pertinent to fairness in federated learning , where various biasing factors can skew model performance. By systematically analyzing fairness‐aware strategies, evaluation metrics, and future directions, this work identifies pivotal research gaps in existing approaches and sheds light on both challenges and ...
Noorain Mukhtiar   +2 more
wiley   +1 more source

Deep Learning–Powered Robust Tactile Perception: Bridging Graphene Electronic Skin and Dynamic Decoding

open access: yesAdvanced Intelligent Systems, EarlyView.
This article presents a developed methodology to achieve robust tactile perception with spatially designed electronic skin (e‐skin) utilizing laser‐induced graphene (LIG). To enhance LIG‐based e‐skin, the fabrication of the e‐skin is simplified and advanced decoding algorithms are employed, effectively circumventing several intrinsic issues of ...
Gyeonghwa Heo   +4 more
wiley   +1 more source

UP3: Unsupervised Predictive Path Planner for Mobile Robots in Unknown Environment

open access: yesAdvanced Intelligent Systems, EarlyView.
In this article, an unsupervised learning‐based predictive path planning framework UP3 for mobile robots is introduced. The framework employs attention‐based path optimization, control barrier functions, and a deep constraint correction module. UP3 allows the robot to use local observation to generate smooth, safe, and collision‐free path points toward
Jianing Luo   +4 more
wiley   +1 more source

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