Results 191 to 200 of about 21,865 (292)

A Soft Robotic Jellyfish with Decoupled Actuators for Agile 3D Locomotion

Advanced Intelligent Systems, EarlyView.
This study presents a soft robotic jellyfish featuring a functionally decoupled actuation architecture. By separating propulsion, steering, and vertical regulation into independent modules, the robot overcomes conventional coupled‐motion limitations. Utilizing a passive‐valve‐based differential drag strategy and lateral water jets, it achieves agile 3D
Zhuoheng Li, Ze Huang, Salvador Pané, Josep Puigmartí‐Luis, Jiwan Kim, Ji‐Hun Bae, Bumjin Jang   +6 more
wiley   +1 more source

Task Scheduling of Multiple Humanoid Robot Manipulators by Using Symbolic Control. [PDF]

Biomimetics (Basel)
Özbaltan M, Özbaltan N, Bıçakcı Yeşilkaya HS, Demir M, Şeker C, Yıldırım M.   +5 more
europepmc   +1 more source

Design‐for‐Benchmarking in Soft Robotics: Navigating Component‐System Dichotomy

Advanced Intelligent Systems, EarlyView.
Soft robotics faces a profound evaluation challenge: the Component‐System Dichotomy, where isolated component tests fail to predict integrated performance. This article presents a systematic survey of critical reporting gaps across actuation, sensing, and control.
Matteo Lo Preti, Muhammad Sunny Nazeer, Josh Pinskier, David Howard, Cecilia Laschi   +4 more
wiley   +1 more source

Mechanical Analysis for Active Movement of Upper Limb Rehabilitation Robots to Alleviate Shoulder Pain in Patients with Stroke Hemiplegia and Frozen Shoulder. [PDF]

Sensors (Basel)
Bang SJ, Lee JS, Song DH, Ryu SY, Kim KG.   +4 more
europepmc   +1 more source

Multimodal Quad‐Finger Soft Robotic Hand With Dual‐Chamber Origami Actuator for Large‐Workspace Manipulation

Advanced Intelligent Systems, EarlyView.
A multimodal quad‐finger soft robotic hand (QDO hand) uses dual‐chamber straight–curved origami prismatic (SCOP) origami actuators. By coordinating positive and negative pressurization in the two chambers, each finger produces axial extension, contraction and bidirectional bending.
Qinlin Tan, Sipeng Zhou, Yanlin Chen, Tianqi Yang, Xiangyu Chu, Sicong Liu, Raymond Kai‐Yu Tong   +6 more
wiley   +1 more source

RWD-DOF: a dual-degree-of-freedom reconfigurable wheel design for improved robotic mobility. [PDF]

Sci Rep
Liu Y, Wei Y, Feng T, Wang C, Wu H.
europepmc   +1 more source

Generalized Task‐Driven Design of Soft Robots via Reduced‐Order Finite Element Method‐Based Surrogate Modeling

Advanced Intelligent Systems, EarlyView.
A unified, reusable modeling pipeline enables task‐driven design of soft robots across actuator families and task scenarios. High‐fidelity simulations are compressed into compact pseudo‐rigid‐body joint surrogates, while a design‐conditioned meta‐model generates new surrogates from geometry parameters without rerunning finite element method.
Yao Yao, David Howard, Perla Maiolino
wiley   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang, Zichao Wang, Zhiwei He, Qingquan Wei, Yong Zuo, Linzhen Nie, Zhishuai Yin   +6 more
wiley   +1 more source

Surface-based manipulation with modular foldable robots. [PDF]

Npj Robot
Wang Z, Demirtas S, Zuliani F, Paik J.
europepmc   +1 more source