Learning to deal with risk: what does reinforcement learning tell us about risk atittudes?. [PDF]
People are generally reluctant to accept risk. In particular, people overvaluate outcomes that are considered certain, relative to outcomes which are merely probable.
Burgos, Albert
core
DFRL-Mol: a dual-stage framework of reinforcement learning for multi-scenario molecule optimization. [PDF]
Brief BioinformWu Z +7 more
europepmc +1 more source
Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics
Advanced Robotics Research, EarlyView.Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won +5 more
wiley +1 more source
An intelligent reinforcement learning enhanced improved LEACH protocol for prolonging wireless sensor network lifetime. [PDF]
Sci RepEl-Sayed HH, Abd-Elgaber EM, Refaay SK.
europepmc +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
Advanced Robotics Research, EarlyView.This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
RRT*-Guided Dual-Layer PPO Robust Control and Planning for Autonomous Bicycles in Rugged and Constrained Terrain. [PDF]
Sensors (Basel)Huang R, Chen X, Deng H, Yang J.
europepmc +1 more source
Continuum Robots in Surgery: From Engineering Design to Clinical Practice
Advanced Robotics Research, EarlyView.The hyper‐redundant nature of continuum robot structures enables near‐infinite degrees of freedom leading to immense potential for medical applications. This review provides a historical background of continuum robots and novel ideas shaping their progress to current structural design, sensing technology, modeling techniques, and control methods.
Griffin Smith +6 more
wiley +1 more source
Information Bottleneck for Communication-Efficient Multi-Agent Reinforcement Learning in UAV Swarms. [PDF]
Entropy (Basel)Yang Z, Li G, Xue Y.
europepmc +1 more source
Flexible Sensors for Robotics Tactile Perception: A Review
Advanced Robotics Research, EarlyView.Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley +1 more source
Long-Horizon Constraint-Aware Collaborative Scheduling for Multiple Phased-Array Radars Using Mamba Temporal Encoding and Structured Hybrid Actions. [PDF]
Sensors (Basel)Liu J, Xu J, Xing W, Li M.
europepmc +1 more source