Results 41 to 50 of about 47,518 (218)
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
Predicted evaporation in Basrah using artificial neural networks
Accurate evaporation estimation is crucial for managing hydrologic, hydraulic, and agricultural systems, among many other applications of water resources. Empirical formulae for estimating evaporation exist, but their performance is not always sufficient
Hamza Zuhal Abdul Hadi
doaj +1 more source
Predicting changes in osmolality
Two neural circuits control the release of vasopressin in response to eating and drinking before there are any detectable changes in blood water levels.
Zhe Yang, Tongtong Wang, Yuki Oka
doaj +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
Energy Saving in Ship Central Cooling Systems: IMC-Tuned PID with Feedforward Control
This study examines the energy savings in a ship’s central cooling system using feedforward control with IMC (Internal Model Control)-based PID tuning.
Tae-Youl Jeon, Young-Chan Lee
doaj +1 more source
A Second-Order Single Loop Oversampling Analog-to-Digital Converter (ADC) with Proposed Hybrid Feedforward/Feedback Architecture [PDF]
This paper proposes hybrid architecture of feedforward/feedback second order single-loop modulator for high resolution analog-to-digital converter (ADC) applications. Different techniques for oversampling modulator are discussed.
Hasan M. Azzawi
doaj +1 more source
Perivascular matrix densification promotes the emergence of aberrant endothelial tip cells (ATECs) that invade and persist within fibrotic microenvironments. Using in vivo lineage tracing and a human microvessel model, this study shows that fibrous matrix cues destabilize VE‐cadherin–mediated junctions to gate TGF‐β signaling, inducing a pro ...
Jingyi Xia +17 more
wiley +1 more source
Cross Kingdom Metabolic Engineering Paradigm Elevating Sustainable Protein Production
ABSTRACT Confronting the dual crisis of escalating global protein demand and unsustainable agriculture necessitates transformative solutions. Here, we pioneer evolutionary insights from maize nitrogen optimization via asparagine synthetase (ASNS) to rewire metabolism in Pichia pastoris.
Yuanyuan Du +4 more
wiley +1 more source

