Results 171 to 180 of about 1,627,644 (339)
A multimaterial robotic gripper fabricated via multimaterial 3D printing integrates conductive thermopolymer joints with flexible elastomeric components. Joule heating enables precise joint‐level stiffness modulation, enhanced by embedded temperature sensors, passive shape restoration, and active cooling, enabling versatile manipulation capabilities ...
Daniel Jee Seng Goh +4 more
wiley +1 more source
Testing network clustering algorithms with natural language processing. [PDF]
Achitouv I, Chavalarias D, Gaume B.
europepmc +1 more source
Liquid Metal Sensors for Soft Robots
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang +7 more
wiley +1 more source
Editorial: Emerging techniques in Arabic natural language processing. [PDF]
Abudalfa S, Saad M, El-Beltagy S.
europepmc +1 more source
Meta-Learning Adaptive Knowledge Distillation for Efficient Biomedical Natural Language Processing
Abiola Obamuyide, Blair F. Johnston
openalex +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
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
Comparing psychedelic and meditation experience reports with natural language processing. [PDF]
Kallio-Mannila K, Salmela R, Jylkkä J.
europepmc +1 more source
Dan Jurafsky, James H. Martin
semanticscholar +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
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 +4 more
wiley +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
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

