Results 221 to 230 of about 283,141 (292)

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

Tensile strength analysis of additively manufactured CM 247LC alloy specimen by employing machine learning classifiers. [PDF]

PLoS One
Jatti VS, Sawant DA, Khedkar NK, Jatti VS, Salunkhe S, Pagáč M, Abouel Nasr ES.   +6 more
europepmc   +1 more source

UTact: Underwater Vision‐Based Tactile Sensor with Geometry Reconstruction and Contact Force Estimation

Advanced Robotics Research, EarlyView.
Embedded flexible sensing technologies advance underwater soft robotics, yet most systems still suffer from hysteresis and limited perceptiveness. Instead, vision‐based tactile sensors provide reliable and rapid feedback essential for complex underwater tasks.
Qiyi Zhang, Zonghao Zuo, Haoxuan Wang, Bin Liu, Yilidusi Yilihamu, Li Wen   +5 more
wiley   +1 more source

The role of national nutrition programs on stunting reduction in Rwanda using machine learning classifiers: a retrospective study. [PDF]

BMC Nutr
Munyemana J, Kabano IH, Uzayisenga B, Cyamweshi AR, Ndagijimana E, Kubana E.   +5 more
europepmc   +1 more source

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

Advanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source

A new approach for sex prediction by evaluating mandibular arch and canine dimensions with machine-learning classifiers and intraoral scanners (a retrospective study). [PDF]

Sci Rep
Baban MTA, Mohammad DN.
europepmc   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
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, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source

Sentiment analysis of financial Twitter posts on Twitter with the machine learning classifiers. [PDF]

Heliyon
Cam H, Cam AV, Demirel U, Ahmed S.
europepmc   +1 more source

Test Input Prioritization for Machine Learning Classifiers

IEEE Transactions on Software Engineering
Xueqi Dang, Yinghua Li, Mike Papadakis, Jacques Klein, Tegawendé F. Bissyandé, Yves Le Traon   +5 more
openaire   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source