Adaptive Macroscopic Ensemble Allocation for Robot Teams Monitoring Spatiotemporal Processes
We propose an online, environment feedback‐driven macroscopic ensemble approach to adapt robot team task allocation in spatiotemporal environments by controlling robot populations rather than assigning individual robots, all while maintaining robust team performance even for small teams. Our simulation and experimental results show better or comparable
Victoria Edwards +2 more
wiley +1 more source
Collision Avoidance Path Planning for Automated Vehicles Using Prediction Information and Artificial Potential Field. [PDF]
Ahn S, Oh T, Yoo J.
europepmc +1 more source
A Complete Framework for a Behavioral Planner with Automated Vehicles: A Car-Sharing Fleet Relocation Approach. [PDF]
Arizala A, Zubizarreta A, Pérez J.
europepmc +1 more source
A Soft Robotic Jellyfish with Decoupled Actuators for Agile 3D Locomotion
This study presents a soft robotic jellyfish featuring a functionally decoupled actuation architecture. By separating propulsion, steering, and vertical regulation into independent modules, the robot overcomes conventional coupled‐motion limitations. Utilizing a passive‐valve‐based differential drag strategy and lateral water jets, it achieves agile 3D
Zhuoheng Li +6 more
wiley +1 more source
Constraint-Guided Behavior Transformer for Centralized Coordination of Connected and Automated Vehicles at Intersections. [PDF]
Zhao R +6 more
europepmc +1 more source
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna +2 more
wiley +1 more source
Optimized path planning and scheduling strategies for connected and automated vehicles at single-lane roundabouts. [PDF]
Wang L +5 more
europepmc +1 more source
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley +1 more source
Reliable but multi-dimensional cognitive demand in operating partially automated vehicles: implications for real-world automation research. [PDF]
Lohani M +7 more
europepmc +1 more source

