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Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai   +3 more
wiley   +1 more source

A Soft Robotic Finger With Deep Learning‐Enhanced Tactile Sensing for Texture and Softness Recognition

open access: yesAdvanced Intelligent Systems, EarlyView.
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al   +3 more
wiley   +1 more source

Continuous and Large‐Scale: ELEANOR, the Soft Architected Arm Inspired by the Elephant Trunk

open access: yesAdvanced Intelligent Systems, EarlyView.
A large‐scale, architected continuum robot inspired by the macroscopic properties of the African elephant trunk achieves adaptive elephant‐like movements and whole‐body grasping. The results demonstrate that designing from the natural system’s macroscopic properties, rather than prescribing behaviors, provides a powerful strategy for developing ...
Giovanna A. Naselli   +8 more
wiley   +1 more source

HeaTrace: A Parametric Design‐to‐Fabrication Workflow for Thermally Programmable Soft Robots

open access: yesAdvanced Intelligent Systems, EarlyView.
A programmable thermal actuation workflow enables soft robots to be designed and fabricated with embedded heaters that drive multiple responses. By combining performance‐driven heater design with multimaterial fabrication, the system supports thermally triggered shape change, stiffness tuning, and thermochromic visual response, as demonstrated through ...
Naresh Kumar Thanigaivel   +9 more
wiley   +1 more source

Dual‐View Representation Learning for Deployable Humanoid Whole‐Body Control

open access: yesAdvanced Intelligent Systems, EarlyView.
Humanoid robots must learn control from limited onboard sensing, although simulation provides richer training‐only states. DVP learning pairs these views of each simulated motion and aligns their latent control features inside the policy‐learning loop. This direct, deployment‐aware supervision accelerates learning while the deployed policy relies only ...
Haolin Song   +3 more
wiley   +1 more source

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