Results 91 to 100 of about 236,809 (257)

Efficient optimization identification method for soil stratification based on cone penetration test and joint posterior distribution of variable dimensionality

Yantu gongcheng xuebao
The mechanical stratification of soils based on the cone penetration test data (such as soil classification index Ic) is widely applied. However, the soil stratification based on Ic depends on engineering experience, and the subjective uncertainty is ...
CAO Zijun 1 , HU Chao 2, WANG Yafei 3, MIAO Cong 4, , LIU Tao 5, HONG Yi 6, ZHENG Shuo 7
doaj   +1 more source

Hard‐Magnetic Soft Millirobots in Underactuated Systems

Advanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang, Zixuan Zhang, Bingyan Li, Junkai Wang, Hongcheng Gu   +4 more
wiley   +1 more source

Classical and Bayesian Estimation for the Exponentiated Obulezi Distribution: Its Applications in Engineering

Axioms
In this study, we suggest a new distribution called the exponentiated Obulezi distribution (EOD). We propose this approach to promote flexibility with a parsimonious structure.
Ola A. Eid, Ahmed R. El-Saeed, Ahmed T. Ramadan, Ahlam H. Tolba   +3 more
doaj   +1 more source

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

An individualized Bayesian method for estimating genomic variants of hypertension. [PDF]

BMC Genomics, 2023
Rahman MA, Cai C, Bo N, McNamara DM, Ding Y, Cooper GF, Lu X, Liu J.   +7 more
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

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

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

Advanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza, Hiroshi Kaminaga, Philippe Fraisse, Gentiane Venture   +3 more
wiley   +1 more source

The Description of Measured Information Using Entropy in Biological Inverse Problems

工程科学与技术, 2008
:An important problem before the parameters identification of biological inverse problems, that is, the determination of the position of measuring points,was discussed.The Bayesian theory was applied to define the probability of the samples by the ...
doaj  

BayFlux: A Bayesian method to quantify metabolic Fluxes and their uncertainty at the genome scale. [PDF]

PLoS Comput Biol, 2023
Backman TWH, Schenk C, Radivojevic T, Ando D, Singh J, Czajka JJ, Costello Z, Keasling JD, Tang Y, Akhmatskaya E, Garcia Martin H.   +10 more
europepmc   +1 more source