Results 241 to 250 of about 503,325 (331)

Shape‐Memory Alloy Torsion Strips for Soft Robotic Manipulation and Morphing

open access: yesAdvanced Intelligent Systems, EarlyView.
In this research, a dedicated configuration of SMA strip is proposed for soft robotic manipulation and morphing. This configuration has broad application prospects and demonstrates remarkable advantages in soft body joint operations. Mimicking invertebrates, soft robots tend to control each of their body joints to achieve the desired shape changes and ...
Changchun Wu   +6 more
wiley   +1 more source

Beyond propulsion: muscle proprioception enables hydrodynamic sensing in fish body. [PDF]

open access: yesProc Biol Sci
Afridi RH   +7 more
europepmc   +1 more source

Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial‐Ground Robotic System

open access: yesAdvanced Intelligent Systems, EarlyView.
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu   +6 more
wiley   +1 more source

Three Synchronized, Miniaturized, Wireless Inertial Measurement Unit Sensors for Automated Gait and Balance Analysis System

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi   +8 more
wiley   +1 more source

Soft Robotic Sim2Real via Conditional Flow Matching

open access: yesAdvanced Intelligent Systems, EarlyView.
A new framework based on conditional flow matching addresses the persistent Sim2Real gap in soft robotics. By learning a conditional probability path, the model directly transforms inaccurate simulation data to match physical reality, successfully capturing complex phenomena like hysteresis.
Ge Shi   +6 more
wiley   +1 more source

Bridging High‐Fidelity Simulations and Physics‐Based Learning using a Surrogate Model for Soft Robot Control

open access: yesAdvanced Intelligent Systems, EarlyView.
A surrogate‐model‐based framework is proposed for combining high‐fidelity finite element method and efficient physics simulations to enable fast, accurate soft robot simulation for reinforcement learning, validated through sim‐to‐real experiments. Soft robotics holds immense promise for applications requiring adaptability and compliant interactions ...
Taehwa Hong   +3 more
wiley   +1 more source

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