Results 191 to 200 of about 187,515 (269)

Fusing appearance and vein morphology using dual-branch deep networks for accurate medicinal plant identification. [PDF]

Front Artif Intell
Karthik CR, Adithya PM, Nidadavolu N, Balasundaram A, Shaik A.   +4 more
europepmc   +1 more source

Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations

Advanced Robotics Research, EarlyView.
Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley   +1 more source

Editorial: Exploring genetic and environmental factors in skeletal muscle development

Frontiers in Veterinary Science
Jia Luo, JingJing Du
doaj   +1 more source

Hybrid Steel Fiber Design in Ultra-High-Performance Concrete Containing Coarse Aggregate Using Pore Size Distribution Within Coarse Aggregate Skeleton. [PDF]

Materials (Basel)
Tang R, Du Y, Zhang J, Kong L.
europepmc   +1 more source

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

Advanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza, Hiroshi Kaminaga, Philippe Fraisse, Gentiane Venture   +3 more
wiley   +1 more source

The Dermal Skeleton of Stem-Actinopterygian Moythomasia durgaringa and Its Implications for the Nature of the Ancestral Osteichthyan. [PDF]

J Morphol
Shan X, Pape E, Keating JN, Rücklin M, Pisani D, Donoghue PCJ.   +5 more
europepmc   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
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, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

Coral growth, retraction, defense, and regenerative strategies revealed by live microCT. [PDF]

Sci Adv
Araslanova K, Kaiser M, Fetisov A, Gavrik D, Zikmund T, Abed-Navandi D, Katovský K, Kaiser J, Adameyko I.   +8 more
europepmc   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
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, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Human motion recognition based on progressive neural architecture search for efficient and interpretable spatiotemporal learning. [PDF]

Sci Rep
Wang F, Li Z.
europepmc   +1 more source