Results 101 to 110 of about 392,790 (256)

Anisotropic Masked Mycobacterium Potentiates Amplified Antitumor Trained Immunity via Spleen Targeting and Myelopoiesis Conversion

Advanced Materials, EarlyView.
An engineered Trojan Mycobacterium, developed via a “peeling‐off and masking‐up” strategy, functions as a powerful splenic myelopoiesis converter. This spleen‐targeted nanomedicine induces trained immunity to reprogram immunosuppressive myeloid reservoirs into antitumoral effectors.
Jin‐Ho Choi, Sang Nam Lee, Jang Hun Heo, Soyoung Park, Sei Hyun Park, Yong Taik Lim   +5 more
wiley   +1 more source

3D‐Printed Dual‐Doped Ag2Se‐Based Thermoelectric Films With Enhanced Thermal Stability

Advanced Materials Technologies, EarlyView.
Sb–Se dual doping enhances the thermal stability of Ag2Se‐based thermoelectric systems. The compositionally tuned nano‐ink is printed into flexible films by direct ink writing (DIW), retaining improved thermoelectric properties after annealing up to 400°C.
Ahasun Habib Hridoy, Nishat Paul, Naimul Arefin, Axel Lopez, Peiran Wei, Brandon Dumars, Yan Chen, Mortaza Saeidi, Minxiang Zeng   +8 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

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

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

Advanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

Muscle Control of an Extra Robotic Digit

Advanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ, Lucy Dowdall, Francesco Cenciarelli, Kitty Goodridge, Mabel Ziman, Hristo Dimitrov, Danielle Clode, Tamar R. Makin   +7 more
wiley   +1 more source

A Multi-User Subcarrier Power Joint Allocation Algorithm Based on Rate Fairness

Dianxin kexue, 2013
With the rapid development of wireless communication technology，the demand for wireless resources increases quickly，and to improve the quality of service are required by users.Therefore，the intelligence is needed to carry out an effective compromise ...
Jianwu Zhang, Lu Jin, Xiaorong Xu
doaj  

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

Hybrid Continuum Robot Designs and Architectures for Healthcare Applications

Advanced Robotics Research, EarlyView.
Hybrid continuum robots represent an emerging class of flexible manipulators that blend materials, structures, and actuation concepts from the established fields of soft and continuum robotics. This review introduces an accessible framework to distinguish key hybridization approaches, surveys current designs aimed at complex clinical applications, and ...
Burak Ozdemir, Muhammad A. Khalid, Manish Chauhan, Pietro Valdastri, James H. Chandler   +4 more
wiley   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source