Results 231 to 240 of about 197,676 (281)

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, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

Solving robotics tasks with prior demonstration via exploration-efficient deep reinforcement learning. [PDF]

Front Robot AI
Shen C, Sloth C.
europepmc   +1 more source

A Risk-Aware Lng Terminal Scheduling Digital Twin Based on Deep Reinforcement Learning

Yaping Hong, Jinglin Wang, Chao Peng, Jinsong Zhao   +3 more
openalex   +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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Trustworthy navigation with variational policy in deep reinforcement learning. [PDF]

Front Robot AI
Bockrath K, Ernst L, Nadeem R, Pedraza B, Dera D.   +4 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, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

Reinforcement Learning for Robust Dynamic Metabolic Control. [PDF]

Biotechnol Bioeng
Espinel-Ríos S, Walser R, Zhang D.
europepmc   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
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, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

Adaptive Reinforcement Learning-Based Framework for Energy-Efficient Task Offloading in a Fog-Cloud Environment. [PDF]

Sensors (Basel)
Mikavica B, Kostic-Ljubisavljevic A.
europepmc   +1 more source

3D Spatial Information Compression Based Deep Reinforcement Learning for UAV Path Planning in Unknown Environments

Zhipeng Wang, Soon Xin Ng, Mohammed El‐Hajjar   +2 more
openalex   +1 more source