Results 201 to 210 of about 34,803,504 (287)

FRLTC: A new topology control algorithm using federated reinforcement learning for software-defined wireless sensor network in IoT. [PDF]

PLoS One
Binh LH, T Duong TV, Le DH.
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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Sequential boundary tracking via reinforcement learning for overlapping cell resolution in sickle cell imaging. [PDF]

Sci Rep
Batool S, Guo M, Asghar MN, Iqbal S.
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

Adaptive primal-dual Q-learning for electric vehicle route optimization on real-world charging networks. [PDF]

Sci Rep
Kumar SR, Raj RDA, Pallakonda A, Sreelakshmi K, Prakasha KK.   +4 more
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

Digital twin framework for personalized behavioral health optimization with Q-learning and graph-based planning. [PDF]

Front Artif Intell
Chatterjee A, Avazov N.
europepmc   +1 more source

Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review

Advanced Robotics Research, EarlyView.
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang, J. An, X. Zheng, D. Wang, S. Wang, X. Wang, P. Zhu, J. Pei, S. Li, J. Paripurana, Y. Han, Z. Tang, X. Gan, Q. He, X. Ma   +14 more
wiley   +1 more source

Adaptive MARL-Assisted Hybrid Bat-Artificial Bee Colony Optimization for Energy-Efficient Clustering and Routing in IoT-Enabled Wireless Sensor Networks. [PDF]

Sensors (Basel)
Mohammed HS, Pirozmand P, Memon S, Ghatrehsamani S, Thakur S, Kadel R, Hossain B.   +6 more
europepmc   +1 more source