Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
A novel approach for accurate disease prediction: Application to heart and liver diseases. [PDF]
Poojari S, Ismail B.
europepmc +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Predictive effects of diabetes-related risk factors for falls in community-dwelling people with diabetic peripheral neuropathy based on a logistic regression model. [PDF]
Suda EY +5 more
europepmc +1 more source
Liquid Metal Sensors for Soft Robots
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang +7 more
wiley +1 more source
Post-Fire Forest Pulse Recovery: Superiority of Generalized Additive Models (GAM) in Long-Term Landsat Time-Series Analysis. [PDF]
Arij N, Malihi S, Kiani A.
europepmc +1 more source
Fold Walker: An Origami‐Inspired Quadruped Robot for Multipattern Locomotion and Object Grasping
This article presents Fold Walker, an origami‐inspired quadruped robot capable of multipattern locomotion and object grasping. With each leg featuring two rotational folds, the robot can transform from a flat 2D configuration into complex 3D poses. Furthermore, its trunk and legs can be one‐shot 3D printed as a unified structure, greatly simplifying ...
Yilun Sun
wiley +1 more source
Enhanced risk prediction of femoral head osteonecrosis in the elderly: a comparative study of random forest and logistic regression models. [PDF]
Shang P, Liu Q, Mu H, Yang H, Jia J.
europepmc +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source

