Graph-Gated Relational Reasoning for Enhanced Coordination and Safety in Distributed Multi-Robot Systems: A Decentralized Reinforcement Learning Approach. [PDF]
Chang T +7 more
europepmc +1 more source
Flexible piezoresistive pressure sensors underpin wearable and soft electronics. This review links sensing physics, including contact resistance modulation, quantum tunneling and percolation, to unified materials/structure design. We highlight composite and graded architectures, interfacial/porous engineering, and microstructured 3D conductive networks
Feng Luo +2 more
wiley +1 more source
A Review of Multi-Robot Systems and Soft Robotics: Challenges and Opportunities. [PDF]
Tejada JC +4 more
europepmc +1 more source
Cyclic Olefin Copolymers as Versatile Materials for Advanced Engineering Applications
Cyclic olefin copolymers (COCs) are presented as highly versatile materials combining tunable synthesis, excellent optical properties, and mechanical robustness. Their potential spans microfluidics, bioengineering, and advanced electronics, while emerging self‐healing and sustainable solutions highlight future opportunities.
Giulia Fredi +3 more
wiley +1 more source
Enhancing the Resilience of ROS 2-Based Multi-Robot Systems with Kubernetes: A Case Study on UWB-Based Relative Positioning. [PDF]
Zhang J, Yu X, Westerlund T.
europepmc +1 more source
Light‐Actuated Fiber‐Climbing Inchworm Robot Toward Endoluminal Navigation
A kirigami‐inspired soft inchworm robot harnesses optical energy from a customized side‐emitting optical fiber, guaranteeing its propulsion along the fiber body. The wavelength‐selective responsiveness of dye‐functionalized liquid crystal elastomers and the application of temporal illumination patterns enable sequential control of robot components. The
Antonio Lobosco +6 more
wiley +1 more source
Reinforcement learning-based dynamic field exploration and reconstruction using multi-robot systems for environmental monitoring. [PDF]
Lu T, Sobti D, Talwar D, Wu W.
europepmc +1 more source
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Bio-Inspired Neural Network for Real-Time Evasion of Multi-Robot Systems in Dynamic Environments. [PDF]
Li J, Yang SX.
europepmc +1 more source
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen +15 more
wiley +1 more source

