Constant-Envelope Waveform Design and Phase Recovery for Integrated Sensing and Communication in High-Mobility Multipath Environments. [PDF]
Xue W, Chen P, Li C, Cao Z, Zhang S.
europepmc +1 more source
Wavelength‐Multiplexed 2D Beam Steering via a Passive Diffractive Network
Illustration of a wavelength‐multiplexed diffractive beam steering system, which is composed of K cascaded diffractive layers, each containing phase‐modulating elements that are jointly optimized using deep learning–based optimization. When illuminated with a set of wavelengths {λ1,λ2,…,λNw}$\{ {{{\lambda }_1},{{\lambda }_2},\ldots ,{{\lambda }_{{{N}_w}
Che‐Yung Shen +5 more
wiley +1 more source
A soft robotic simulator is developed to replicate the digital removal of feces (DRF), a sensitive yet essential nursing procedure. Integrating soft actuators, sensors, and a realistic rectal model, the simulator balances functional fidelity with perceptual realism. Engineering evaluations and nurse feedback confirm its potential to enhance training in
Shoko Miyagawa +10 more
wiley +1 more source
Multi-agent meta-reinforcement learning based on contrastive predictive coding-For rapid adaptive traffic control after emergencies. [PDF]
Jiang W, Huang X, Wang G, Li R, Tang S.
europepmc +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Hierarchical Model Selection and Control for Latency-Energy Optimization in MEC-Assisted Vehicular Networks. [PDF]
Song I, Kang S, Ros S, Kim S.
europepmc +1 more source
Optimal Control of Connected Vehicle Systems With Communication Delay and Driver Reaction Time
Jin I. Ge, G. Orosz
semanticscholar +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
FRLTC: A new topology control algorithm using federated reinforcement learning for software-defined wireless sensor network in IoT. [PDF]
Binh LH, T Duong TV, Le DH.
europepmc +1 more source
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source

