Morphological symmetry-aware generalized policy network for deep reinforcement learning. [PDF]
Front Robot AIHakoda R +6 more
europepmc +1 more source
Trust-based Consensus in Multi-Agent Reinforcement Learning Systems [PDF]
An often neglected issue in multi-agent reinforcement learning (MARL) is the potential presence of unreliable agents in the environment whose deviations from expected behavior can prevent a system from accomplishing its intended tasks.
Darvariu, Victor +3 more
core
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Optimization of urban freight intelligent route based on reinforcement learning. [PDF]
Sci RepXin G, Tang Y, Gao H, Li N.
europepmc +1 more source
Hard‐Magnetic Soft Millirobots in Underactuated Systems
Advanced Robotics Research, EarlyView.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
Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models. [PDF]
IEEE Trans Med ImagingLai Y +6 more
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.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
Reinforcement Learning-Based Optimization of Ku-Band Low-Noise Amplifier. [PDF]
Micromachines (Basel)Chung J +6 more
europepmc +1 more source
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Advanced Robotics Research, EarlyView.Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
Deep Reinforcement Learning-Based Automated Treatment Planning for a Rotating Gamma System. [PDF]
CureusLi J, Guo P, Guo X.
europepmc +1 more source