Results 151 to 160 of about 268,099 (291)

Toward Wireless Implantable Robotic Systems Driven by Magnetic Field for Personalized Therapy

Advanced Robotics Research, EarlyView.
Robotic materials are playing an increasingly vital role in enabling sensing and actuation at small scales. This perspective highlights recent advances in magnetic materials and magnetically actuated devices for wireless sensing, actuation, and energy harvesting toward implantable robotic systems for closed‐loop therapy.
Yusheng Wang, Ruijian Ge, Xiaoguang Dong
wiley   +1 more source

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

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +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

From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures

Advanced Robotics Research, EarlyView.
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley   +1 more source

Situational awareness predicts self-management of type I diabetes in adolescents and young adults. [PDF]

Health Psychol
Cook PF, Jost E, Forlenza G, Messer LH, Thompson S, Peck E, Voida S.   +6 more
europepmc   +1 more source

CDK4/6 Inhibition Induces CD8+ T Cell Antitumor Immunity via MIF‐Induced Functional Orchestration of Tumor‐Associated Macrophages

Advanced Science, EarlyView.
CDK4/6 inhibition promotes CD8+ T cell expansion through tumor‐macrophage crosstalk by activating HIF‐1α and enhancing MIF‐CD44/CD74 signaling. This reprograms TAMs to boost MHC‐I antigen presentation, and CDK4/6 inhibitor‐trained M1 TAM supernatant therapy synergizes with low‐dose PD‐1 blockade to restore antitumor immunity.
Lin He, Yuzhong Peng, Lat‐lun Leong, Jingbo Zhou, Dongyang Tang, Weilu Wang, Xiaoran Wu, Josh haipeng Lei, Yongqin Ye, Yangyang Feng, Yunfeng Qiao, Xiangpeng Chu, Di Mu, Qi Zhao, Tzuming Liu, Yan Chen, Paul Kwonghang Tam, Chu‐Xia Deng   +17 more
wiley   +1 more source

Sampled-data control under time-varying delays: a robust approach for high-renewable smart grids. [PDF]

Sci Rep
Hassan M.
europepmc   +1 more source

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

Advanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich, Noah S. David, Markus J. Buehler   +2 more
wiley   +1 more source

Preserving provability over GPU program optimizations with annotation-aware transformations. [PDF]

Form Methods Syst Des
Şakar Ö, Safari M, Huisman M, Wijs A.
europepmc   +1 more source