Results 241 to 250 of about 9,897,879 (386)

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

Natural Language Processing for Automated Extraction of Continuous Glucose Monitoring Data. [PDF]

Diabetes Care
Zheng Y, Song Y, Iturrate E, Wu B, Zweig S, Johnson SB.   +5 more
europepmc   +1 more source

The Genesis of Constitutions: A Natural Language Processing Approach

Tejas Ramdas, Chung-Chia Huang, Nuno Garoupa, Martin T. Wells, Yun‐chien Chang, Tom Ginsburg   +5 more
openalex   +1 more source

Multi-turn Inference Matching Network for Natural Language Inference [PDF]

, 2018
Chunhua Liu, Shan Jiang, Hainan Yu, Dong Yu   +3 more
openalex   +1 more source

AI-BASED WEARABLE DEVICES WITH EMOTION RECOGNITION FOR SAFETY ALONG NATURAL LANGUAGE PROCESSING

, 2023
M. Ghosh, Anshuman Roy, Rejaul Haque Molla, Arupam Chakraborty   +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

Latency-Aware Benchmarking of Large Language Models for Natural-Language Robot Navigation in ROS 2. [PDF]

Sensors (Basel)
Das M, Hussain Z, Nawaz M.
europepmc   +1 more source

Robotic Process Automation, Deep Learning, and Natural Language Processing in Algorithmic Data-driven Accounting Information Systems

, 2020

openalex   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Public values in public R&D through natural language processing. [PDF]

Sci Rep
Jang H, Roh T, Yoon B.
europepmc   +1 more source