Results 141 to 150 of about 243,807 (281)

Strong‐Magnetic Flexible Composites for Magnetically Responsive Soft Robots

Advanced Robotics Research, EarlyView.
This perspective provides an overview of the performance mechanisms, preparation methods, and applications of strong magnetic flexible composite materials in soft actuators (such as gripping, movement, and sensing), and further explores current opportunities and challenges.
Wenwen Li, Shuai Liu, Xinyi Wang, Xinglong Gong, Shouhu Xuan   +4 more
wiley   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

Advanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
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

Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling

Advanced Robotics Research, EarlyView.
This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou, Eran Beeri Bamani, Joao Buzzatto, Bryan Busby, Lucas Ferrari Gerez   +4 more
wiley   +1 more source

VOIS: A framework for recording Voice Over Internet Surveys. [PDF]

Behav Res Methods
Ristow T, Hernandez I.
europepmc   +1 more source

Edible Pneumatic Battery for Sustained and Repeated Robot Actuation

Advanced Science, EarlyView.
This work presents an edible energy source and valve system to power soft, pneumatically driven edible robots. A chemical reaction between sodium bicarbonate and citric acid generates carbon dioxide gas, and a pressure‐triggered edible valve enables self‐repetitive motion of the edible actuator.
Bokeon Kwak, Shuhang Zhang, Alexander Keller, Qiukai Qi, Jonathan Rossiter, Dario Floreano   +5 more
wiley   +1 more source

Artificial Tactile Perception System for Exploring Internal and External Features of Objects via Time‐Frequency Features

Advanced Science, EarlyView.
By engaging in different active exploration behaviors, the tactile perception system can generate distinct signal modes, enabling the application of targeted decoding strategies for efficient and accurate perception of both external and internal object features.
Yuanzhi Zhou, Jingqi Zhang, Linyi Li, Muxing Huang, Ziyi Zhang, Xingmin Lu, Zilan Li, Xuchun Gui, Xinming Li   +8 more
wiley   +1 more source

Epithelium‐Inspired, Ultrahigh‐Toughness, Ultralow‐Hysteresis, and Highly Compressible Polymer Hydrogels as Self‐Powered, Visual, and Underwater Strain Sensors

Advanced Science, EarlyView.
Inspired by epithelial tissue, epithelium‐like structure hydrogels are synthesized. The as‐prepared hydrogels exhibit ultrahigh toughness, ultralow hysteresis, and ultrahigh compressibility, which can be utilized as self‐powered and visual strain sensors.
Yutang Zhou, Honghao Shu, Yuhuan Yao, Bolin Lu, Wenbin Zhong   +4 more
wiley   +1 more source

Using Video Modeling with Voice-over Instruction to Train Public School Staff to Implement a Preference Assessment. [PDF]

Behav Anal Pract, 2017
Bovi GMD, Vladescu JC, DeBar RM, Carroll RA, Sarokoff RA.   +4 more
europepmc   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

Advanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song   +6 more
wiley   +1 more source