Results 111 to 120 of about 1,182,394 (227)

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

Prototyping Next-Generation O-RAN Research Testbeds with SDRs

, 2022
Open RAN (O-RAN) defines an emerging cellular radio access network (RAN) architecture for future 6G wireless networks, emphasizing openness and intelligence which are considered the foundations of future 6G wireless networks.
Abdalla, Aly S., Reed, Jeffrey H., Upadhyaya, Pratheek S., Shah, Vijay K., Marojevic, Vuk   +4 more
core  

On the Architectural Split and Radio Intelligence Controller Placement in Integrated O-RAN-Enabled Non-Terrestrial Networks

IEEE Open Journal of the Communications Society
The integration of Terrestrial Networks (TNs) with Non-Terrestrial Networks (NTNs) poses unique architectural and functional challenges due to heterogeneous propagation conditions, dynamic topologies and limited onboard processing capabilities.
Jorge Baranda, Marius Caus, Luis Blanco, Cristian J. Vaca-Rubio, Engin Zeydan, Kapal Dev, Zheng Li, Tomaso De Cola   +7 more
doaj   +1 more source

ICRAN: Intelligent Control for Self-Driving RAN Based on Deep Reinforcement Learning

IEEE Transactions on Network and Service Management, 2022
Azza H. Ahmed, Ahmed Elmokashfi
openaire   +2 more sources

ML-Based Intelligent O-RAN Control in 6G Integrated Terrestrial and Non-Terrestrial Networks

2024 IEEE Globecom Workshops (GC Wkshps)
The Open Radio Access Network (O-RAN) specification aims to define open, interoperable RAN interfaces with virtualized, intelligent RAN functions to support next-generation integrated Terrestrial and Non-Terrestrial Networks (T-NTN). The O-RAN specification introduces several options in which ML functional blocks can be distributed across several ...
Shinde, S.S., Naseh, D., Tarchi, D.
openaire   +4 more sources

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

Intelligent liquid level controller [PDF]

The process controller created by using intelligent control system has become more and more widespread use at present. Using the example of an intelligent liquid level controller the development order of an effective controller with intelligence ...
Dzmitry Dauhiala, Uladzimir Pitolin, Maladzechkina, T., Yanushkevich, V., Tatsiana Maladzechkina, Pitolin, U., Vershinin, A., Viktar Yanushkevich, Aliaksandr Vershinin, Dauhiala, D.   +9 more
core   +1 more source

Cyrus+: A DRL-Based Puncturing Solution to URLLC/eMBB Multiplexing in O-RAN

IEEE Transactions on Machine Learning in Communications and Networking
Puncturing is a promising technique in 3GPP to multiplex Enhanced Mobile Broadband (eMBB) and Ultra-Reliable Low Latency Communications (URLLC) traffic on the same 5G New Radio (NR) air interface. The essence of puncturing is to transmit URLLC packets on
Ehsan Ghoreishi, Bahman Abolhassani, Yan Huang, Shiva Acharya, Wenjing Lou, Y. Thomas Hou   +5 more
doaj   +1 more source

EvoRIC: Reinforcement Learning Fine-Tuned LLM-empowered RAN Intelligent Control Toward Autonomous O-RAN

Despite recent advances in applying artificial intelligence (AI) techniques to radio access network (RAN), critical challenges remain: traditional machine learning (ML) algorithms suffer from limited generalization across varying network topologies, whereas general-purpose large language models (LLMs) face high computational demands and lack domain ...
Bao, Lingyan, Lee, Jemin, Quek, Tony Q. S.   +2 more
openaire   +2 more sources

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