Results 191 to 200 of about 7,643 (265)

A methodology for integrating AI into embodied human intelligence for the performance of complex tasks. [PDF]

Front Artif Intell
Ahmed T, Rikakis T.
europepmc   +1 more source

Strong Photoluminescence Enhancement in All‐Dielectric Ge Thin Film Metasurfaces for Integration on the Si Platform

Advanced Optical Materials, EarlyView.
Germanium (Ge) all‐dielectric metasurfaces can be leveraged to strongly enhance the radiative emission from Ge layers grown on silicon‐on‐insulator substrates by industry‐standard processes. At room‐temperature, the narrowband photoluminescence (PL) intensity is enhanced by a factor ∼40× with respect to unstructured films.
Jon Schlipf, Diana Ryzhak, Giovanni Capellini, Paul Oleynik, Oliver Skibitzki, Yuji Yamamoto, Inga A. Fischer   +6 more
wiley   +1 more source

Dynamic-layer transformer-based reinforcement learning for observation-constrained multi-agent roundup scenarios. [PDF]

Sci Rep
Li X, Xu N, Chi Q, Chen H.
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

Hippocampus supports multi-task reinforcement learning under partial observability. [PDF]

Nat Commun
Pedamonti D, Mohinta S, Dimitrov MV, Malagon-Vina H, Ciocchi S, Costa RP.   +5 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

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Adaptive hierarchical learning for uncertainty-aware distributed energy resource planning. [PDF]

Commun Eng
Xiang Y, Li L, Lu Y, Zhao AP, Liu Y, Wang X, Pu T, Gu C, Liu J.   +8 more
europepmc   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Efficient and Dynamically Consistent Joint Torque Estimation for Wearable Neurotechnology via Knowledge Distillation. [PDF]

Bioengineering (Basel)
Xu S, Chang Z, Ding Z, Yang X, Wang T, Xu D.   +5 more
europepmc   +1 more source