Energy-efficient path planning for Robotic Bulkhead Inspection using Residual-Enhanced UKF and Hierarchical MPC. [PDF]
Wang J, Li L, Gao R, Yang L.
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Path Planning for USVs in Complex Marine Environments Based on an Improved Hybrid TD3 Algorithm. [PDF]
Zhang Z, Wang X, Wang Q, Zhu M, Feng M.
europepmc +1 more source
Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale +6 more
wiley +1 more source
A hybrid RRT-DWA path planning framework for UAVs in dynamic environments. [PDF]
Han Q +5 more
europepmc +1 more source
To achieve 3D force sensing in confined spaces such as fingertips, we developed a laser‐assisted folding and magnetization method to fabricate miniature films with precise centripetal magnetization. The resulting compact sensor delivers high force resolution, rapid response, and long‐term stability, significantly enhancing the manipulation capabilities
Yujie Huang +10 more
wiley +1 more source
Vision-Controlled autonomous navigation in unstructured environments: Integrating image processing, path planning, and trajectory control in robotic systems. [PDF]
Wang P, Yu H, Wang S.
europepmc +1 more source
MGDP: Mastering a Generalized Depth Perception Model for Quadruped Locomotion
ABSTRACT Perception‐based Deep Reinforcement Learning (DRL) controllers demonstrate impressive performance on challenging terrains. However, existing controllers still face core limitations, struggling to achieve both terrain generality and platform transferability, and are constrained by high computational overhead and sensitivity to sensor noise.
Yinzhao Dong +9 more
wiley +1 more source
Obstacle-avoidance trajectory planning method for excavators in confined spaces based on improved RRT* algorithm. [PDF]
Fu S, Lin C, Yao Z, Lin T, Chen Q.
europepmc +1 more source
Advanced Technologies for Characterizing and Detecting Battery Thermal Failure: A Review
Illustration of advanced characterization techniques to predict battery thermal failure. ABSTRACT Energy storage is essential in accelerating the global transition toward clean and sustainable energy across various sectors. Lithium‐ion batteries (LIBs) have become increasingly significant for energy storage due to their high energy density, low ...
Yongxiu Chen +5 more
wiley +1 more source

