Results 131 to 140 of about 522,323 (249)
Elastic Fast Marching Learning from Demonstration
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados +3 more
wiley +1 more source
Transformations in Diabetes Care: Lessons From Commons-Based, Peer-Produced Citizen Science. [PDF]
O'Donnell S, Quigley M.
europepmc +1 more source
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source
Robust optimization of uncertain E-commerce closed-loop supply chain networks under carbon policies. [PDF]
Sun J, Li X, Wang Z, Chen Z.
europepmc +1 more source
Soft Robotic Sim2Real via Conditional Flow Matching
A new framework based on conditional flow matching addresses the persistent Sim2Real gap in soft robotics. By learning a conditional probability path, the model directly transforms inaccurate simulation data to match physical reality, successfully capturing complex phenomena like hysteresis.
Ge Shi +6 more
wiley +1 more source
Design of global climate control based on fuzzy systems with concept of carbon emissions. [PDF]
Naseer S +5 more
europepmc +1 more source
A surrogate‐model‐based framework is proposed for combining high‐fidelity finite element method and efficient physics simulations to enable fast, accurate soft robot simulation for reinforcement learning, validated through sim‐to‐real experiments. Soft robotics holds immense promise for applications requiring adaptability and compliant interactions ...
Taehwa Hong +3 more
wiley +1 more source
Challenges and Strategies for Successful Insulin Pump Therapy in an Elderly Patient With Type 1 Diabetes and Comorbidities: A Case Report. [PDF]
Algeffari M, Alotaibi EA.
europepmc +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
A Multi-Agent LLM Network for Suggesting and Correcting Human Activity and Posture Annotations. [PDF]
Le H +4 more
europepmc +1 more source

