Results 171 to 180 of about 56,042 (290)
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source
Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
MFAFENet: A Multi-Sensor Collaborative and Multi-Scale Feature Information Adaptive Fusion Network for Spindle Rotational Error Classification in CNC Machine Tools. [PDF]
Wang F, Song L, Wang P, Deng P, Lan T.
europepmc +1 more source
Dutch language and culture e-learning module for (exchange) students. This learning module was developed on the basis of a cross-cultural research project co-ordinated by professor Martine Verjans (Universiteit Hasselt – CTL).
VERJANS, Martine +3 more
core
Durability of Soft Pneumatic Actuators: A Review and Benchmarking Protocol
Lack of durability is a key challenge hindering the broad scale adoption of soft pneumatic actuators (SPAs) in automation industries. This review provides a comprehensive overview of existing research on SPA durability, introduces a standardized durability benchmarking protocol to consolidate the testing of SPAs, and outlines promising directions for ...
Dickson Chiu Yu Wong +2 more
wiley +1 more source
Virtual Reality in Ophthalmic Surgical Education: Current Innovations and Future Perspectives. [PDF]
Ahuja AS, Yang S, Paredes Iii AA, Tu DC.
europepmc +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
PhyDCT-UIUNet: A Dual-Branch Interference Network with Physical Constraints for Super-Resolution Imaging in Sparse Data Tunable Semiconductor Laser Absorption Tomography. [PDF]
Wei H +8 more
europepmc +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki +2 more
wiley +1 more source
TransGrid-CostOpt: A hybrid transformer framework for cost prediction and optimization of distribution network assets. [PDF]
Xiong W +6 more
europepmc +1 more source

