Results 81 to 90 of about 147,336 (310)
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source
THE FLAG IS THE STATE SYMBOL, THE PRIDE OF THE NATION
Annotation. The article reflects the fact that the flag is very important for the independent state, it is a symbol of national pride and pride for every citizen, as well as the embodiment of the centuries-old desires, enthusiasm and enthusiasm of the people of Uzbekistan as well as hospitality inherent in our people.
openaire +2 more sources
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
Uncertainty‐Aware Machine Learning Bias Correction and Filtering for OCO‐2. 2
Quality filtering of satellite XCO2 retrievals is essential for every downstream science application, yet the community still grapples with the trade‐off between retaining data availability and suppressing biases.
William Keely +15 more
doaj +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
Quantum Circuit Discovery for Fault-Tolerant Logical State Preparation with Reinforcement Learning
The realization of large-scale quantum computers requires not only quantum error correction but also fault-tolerant (FT) operations to handle errors that propagate into harmful errors.
Remmy Zen +5 more
doaj +1 more source
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano +3 more
wiley +1 more source

