Results 91 to 100 of about 167,283 (265)

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

Advanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo, Jiahui Zhang, Yimin Han, Ji Ma, Minghao Lu, Ioannis Havoutis, Peng Lu   +6 more
wiley   +1 more source

Diverse Metrics for Robust LBS Privacy: Distance, Semantics, and Temporal Factors

Sensors
Addressing inherent limitations in distinguishing metrics relying solely on Euclidean distance, especially within the context of geo-indistinguishability (Geo-I) as a protection mechanism for location-based service (LBS) privacy, this paper introduces an
Yongjun Li, Yuefei Zhu, Jinlong Fei, Wei Wu   +3 more
doaj   +1 more source

Exploiting semantic information in a spiking neural SLAM system. [PDF]

Front Neurosci, 2023
Dumont NS, Furlong PM, Orchard J, Eliasmith C.   +3 more
europepmc   +1 more source

Information Extraction for the Semantic Web

, 2005
The World Wide Web represents a universe of knowledge and information. Unfortunately, it is not straightforward to query and access the desired information. Languages and tools for accessing, extracting, transforming, and syndicating the desired information are required.
Baumgartner, R, Eiter, T, Gottlob, G, Herzog, M, Koch, C   +4 more
openaire   +2 more sources

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

Examining the extraction of parafoveal semantic information in Tibetan. [PDF]

PLoS One, 2023
Shen M, Niu Z, Gao L, Li T, Wang D, Li S, Zeng M, Bai X, Gao X.   +8 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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

RLDD-YOLOv11n: Research on Rice Leaf Disease Detection Based on YOLOv11

Agronomy
Rice disease identification plays a critical role in ensuring yield stability, enabling precise prevention and control, and promoting agricultural intelligence.
Kui Fang, Rui Zhou, Nan Deng, Cheng Li, Xinghui Zhu   +4 more
doaj   +1 more source

Metric networks for enhanced perception of non-local semantic information. [PDF]

Front Neurorobot, 2023
Li J, Zhou YQ, Zhang QY.
europepmc   +1 more source