Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj +2 more
wiley +1 more source
Deep reinforcement learning enhanced PID control for hydraulic servo systems in injection molding machines. [PDF]
Hao X +6 more
europepmc +1 more source
Hard‐Magnetic Soft Millirobots in Underactuated Systems
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
This review systematically examines robotic systems for robot‐assisted transoral surgical procedures, classifying them based on transoral access depth, and evaluates their fundamental design principles, mechanical innovations, algorithmic advancements, and clinical implementation status.
Yuhao Shi +5 more
wiley +1 more source
Integrating differential privacy in deep reinforcement learning for sepsis treatment with pulmonary implications. [PDF]
Wang S, Yang F, Wang S, Sun R.
europepmc +1 more source
Design of an integrated model using deep reinforcement learning and Variational Autoencoders for enhanced quantum security. [PDF]
Shingne H +3 more
europepmc +1 more source
Dynamic Network Plasticity and Sample Efficiency in Biological Neural Cultures: A Comparative Study with Deep Reinforcement Learning. [PDF]
Khajehnejad M +5 more
europepmc +1 more source
A multimodal deep reinforcement learning approach for IoT-driven adaptive scheduling and robustness optimization in global logistics networks. [PDF]
Lu Y.
europepmc +1 more source
Distributed Multi-Agent Deep Reinforcement Learning-Based Transmit Power Control in Cellular Networks. [PDF]
Kim H, So J.
europepmc +1 more source
Relative importance sampling for off-policy actor-critic in deep reinforcement learning. [PDF]
Humayoo M +9 more
europepmc +1 more source

