Results 241 to 250 of about 151,349 (311)
End-to-end multimodal structure elucidation from raw spectra combining contrastive learning and evolutionary algorithms. [PDF]
Mirza A, Patiny L, Jablonka KM.
europepmc +1 more source
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
ASCA-YOLO: Adaptive Sparse and Context-Aware YOLO Algorithm for Forest Wildfire Detection. [PDF]
Hao Y, Wang K, Zhang L, Yuan Z.
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
Developing a QSPR model for Alzheimer's drugs using topological indices and M-polynomial: A computational study. [PDF]
Akhbari MH +3 more
europepmc +1 more source
Efficient and Robust Standing Postures of Quadruped Robots
A calibrated static framework estimates load, optimizes torques, and adapts posture so quadruped robots stand efficiently and robustly under external payloads, achieving up to 50% lower torque demand. Inspired by the natural posture adjustments of animals under external loading, this article presents an optimization‐based framework for minimizing joint
Mohamad Kanaan +5 more
wiley +1 more source
Design of natural frequency solution method based on the lateral disturbance modeling of slurry discharge pipelines in slurry shield machines. [PDF]
Li X, Li Z, Chen Y, Cheng Y.
europepmc +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
SuperARC: a test for artificial superintelligence based on compressed modelling, recursive prediction and problem complexity. [PDF]
Hernández-Espinosa A +3 more
europepmc +1 more source

