Results 151 to 160 of about 7,296 (265)

Skin‐Like Tri‐Modal Sensors Based on Soft Piezoelectric and Ionic Composites

Advanced Materials Technologies, EarlyView.
Inspired by the multimodal perception of human skin, a soft, skin‐like tri‐modal sensor is presented. The device incorporates an ionically conductive, piezoelectric, elastic composite as its active layer, enabling independent detection of temperature, static strain, and dynamic strain within a single two‐terminal architecture.
Liren Wang, Peter Zalar, Vishva Bhate, Takeo Furukawa, Hidekazu Kodama, Yijun Liu, Yuanyuan Zhou, Chuang Hou, Siyuan Liu, Naoji Matsuhisa   +9 more
wiley   +1 more source

The ADePT framework for assessing autonomous laboratory robotics. [PDF]

Commun Chem
Salazar-Villacis P, Benyahia B.
europepmc   +1 more source

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

Advanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

Vision-Controlled autonomous navigation in unstructured environments: Integrating image processing, path planning, and trajectory control in robotic systems. [PDF]

PLoS One
Wang P, Yu H, Wang S.
europepmc   +1 more source

Modulus‐Switchable Miniature Robots for Biomedical Applications: A Review

Advanced Robotics Research, EarlyView.
Materials, robot designs, proof‐of‐concept functions, and biomedical applications of modulus‐switchable miniature robots. Miniature soft robots have shown great potential in biomedical applications due to their excellent controllability and suitable mechanical properties in biological environments.
Chunyun Wei, Yibin Wang, Jiangfan Yu
wiley   +1 more source

Unilateral Ankle‐Foot Exoneuromusculoskeleton with Balance‐Sensing Feedback for Self‐Help Telerehabilitation after Stroke

Advanced Robotics Research, EarlyView.
This study introduces a hybrid robot that integrates mechanical assistance by musculoskeletons (i.e., soft pneumatic muscle with rigid exoskeletal extensions), neuromuscular electrical stimulation, and vibrotactile feedback in a lightweight wearable mechatronic complex applicable to the paretic ankle–foot poststroke for gait restoration. The system can
Fuqiang Ye, Wei Rong, Waiming Li, Kwok‐Ting Wong, Man‐Kit Pang, Hon‐Wah Wai, Lilly Li, Zicong Hong, Song Guo, Zong‐Hao Ma, Yongping Zheng, Ming Zhang, Nicholas Chow, Jianing Zhang, Xiaoling Hu, Fei Chen, Waisang Poon   +16 more
wiley   +1 more source

Intelligent trajectory tracking in autonomous plantation robots using PSO-tuned nonlinear fuzzy PID, fuzzy PID, and conventional PID controllers. [PDF]

Sci Rep
Hailu GL, Yatayew TT.
europepmc   +1 more source

Autonomous navigation of mobile robots

, 2001
Autonomous guided vehicles or mobile robots are machines that can accomplish assigned tasks in an environment without human assistant or intervention. In this thesis, problem areas in the development of efficient, simple, cost effective and fast autonomous navigation systems for unstructured and dynamic environment are addressed.
openaire   +1 more source

Multitasking Smart Intestinal Capsule Robot: A Cutting‐Edge Platform for Sampling, Diagnosis, and Therapy

Advanced Robotics Research, EarlyView.
Gut microbiota and biomarkers are linked to diseases like neurological disorders and metabolic syndromes. Ingestible capsule robots enable minimally invasive gut health assessment. This article proposes a promising direction for the advancement of capsule robots, integrating in situ sampling, real‐time diagnostics, and personalized therapy.
Xizong Chen, Libing Huang, Lei Ren, Miao Wang   +3 more
wiley   +1 more source

A Real-Time Mobile Robotic System for Crack Detection in Construction Using Two-Stage Deep Learning. [PDF]

Sensors (Basel)
Ogun E, Voeurn YA, Lee D.
europepmc   +1 more source