Results 51 to 60 of about 11,571 (267)

An Adaptive Impedance Control Method for Underwater Dexterous Hands Based on Reinforcement Learning

Journal of Marine Science and Engineering
With the continuous advancement of marine development, underwater operational tasks are becoming increasingly diverse and complex. Addressing the limitations of traditional methods and intelligent planning—which focus solely on acquiring task skills ...
Yuze Sun, Qingfeng Yao, Qiyan Tian, Naizhi He   +3 more
doaj   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

Variable-Parameter Impedance Control of Manipulator Based on RBFNN and Gradient Descent

Sensors
During the interaction process of a manipulator executing a grasping task, to ensure no damage to the object, accurate force and position control of the manipulator’s end-effector must be concurrently implemented. To address the computationally intensive
Linshen Li, Fan Wang, Huilin Tang, Yanbing Liang   +3 more
doaj   +1 more source

Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis

Molecular Oncology, EarlyView.
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht, Sameer Gupta, Amrita Chaurasia, Manisha Sachan   +3 more
wiley   +1 more source

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

Molecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski, Liudmyla Dolinchuk, Michał Jerzak, Albert Gandurski, Tomasz Grochowski, Weronika Wojtyś, Maciej Zadrożny, Wojciech Kaźmierczak, Małgorzata Lenarcik, Marta Matejak‐Górska, Radosław Samsel, Tomasz Olesiński, Dawid Walerych   +12 more
wiley   +1 more source

A Modally Adaptive Control for Multi-Contact Cyclic Motions in Compliantly Actuated Robotic Systems

, 2013
Compliant actuators in robotic systems improve robustness against rigid impacts and increase the performance and efficiency of periodic motions such as hitting, jumping and running.
Albu-Schäffer, Alin Olimpiu, Florian Petit, Petit, Florian, Dominic Lakatos, Alin Albu-Schaffer, Lakatos, Dominic, Dietrich, Alexander, Alexander Dietrich, Görner, Martin, Martin Gorner   +9 more
core   +1 more source

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Contact-rich SE(3)-Equivariant Robot Manipulation Task Learning via Geometric Impedance Control

, 2023
This paper presents a differential geometric control approach that leverages SE(3) group invariance and equivariance to increase transferability in learning robot manipulation tasks that involve interaction with the environment. Specifically, we employ a
Choi, Jongeun, Tomizuka, Masayoshi, Prakash, Nikhil Potu Surya, Horowitz, Roberto, Seo, Joohwan, Zhang, Xiang, Wang, Changhao   +6 more
core   +1 more source

Learning-based Multifunctional Elbow Exoskeleton Control [PDF]

, 2022
In this article, we propose a learning-based model for multifunctional elbow exoskeleton control, i.e., assist-and resist-as-needed (AAN and RAN). The model consists of online iterative learning and impedance adaptation mechanisms for predictive and ...
Do, Cao Danh, Xiong, Xiaofeng; id_orcid, Manoonpong, Poramate   +2 more
core   +1 more source

Damping profile learning for human-robot collaboration using Bayesian optimization with a task success rate model

Mechanical Engineering Journal
In the realm of human-robot collaboration, impedance and admittance control are widely utilized techniques to regulate the interaction dynamics between humans and robots.
Liem Duc TRAN, Tasuku YAMAWAKI, Masahito YASHIMA   +2 more
doaj   +1 more source