Results 41 to 50 of about 11,571 (267)

Learning Variable Impedance Control: A Model-Based Approach Using Gaussian Processes

, 2016
Modern robotic systems are increasingly expected to interact with unstructured and unpredictable environments. This has reiterated the importance of sophisticated reasoning and adaptive motor skill learning.
V. van Spaandonk
openalex   +2 more sources

Condition-based Design of Variable Impedance Controllers from User Demonstrations [PDF]

, 2023
This paper presents an approach to ensure conditions on Variable Impedance Controllers through the off-line tuning of the parameters involved in its description.
Vicenç Puig, Puig Cayuela, Vicenç, Guillem Alenyà, San Miguel Tello, Alberto, Alenyà Ribas, Guillem, Puig, Vicenç, Alenyà, Guillem, San Miguel, Alberto, Alberto San-Miguel   +8 more
core   +1 more source

An Advanced Adaptive Control of Lower Limb Rehabilitation Robot

Frontiers in Robotics and AI, 2018
Rehabilitation robots play an important role in the rehabilitation field, and effective human-robot interaction contributes to promoting the development of the rehabilitation robots. Though many studies about the human-robot interaction have been carried
Yihao Du, Hao Wang, Shi Qiu, Wenxuan Yao, Ping Xie, Xiaoling Chen   +5 more
doaj   +1 more source

A neural network based framework for variable impedance skills learning from demonstrations

, 2023
Robots are becoming standard collaborators not only in factories, hospitals, and offices, but also in people's homes, where they can play an important role in situations where a human cannot complete a task alone or needs the help of another person (i.e.,
Zhang, Yu, Li, Houcheng, Cheng, Long, Cao, Ran, Yang, Chenguang   +4 more
core   +1 more source

A PSO-Optimized Fuzzy Reinforcement Learning Method for Making the Minimally Invasive Surgical Arm Cleverer

IEEE Access, 2019
For robotic-assisted surgery, the preoperative preparation procedure within which the surgical arms need to be adjusted manually to their expected configuration can pose interlocking problems in terms of accuracy, system robustness, and human-robot ...
Weidong Wang, Chengjin Du, Wei Wang, Zhijiang Du   +3 more
doaj   +1 more source

Variable Impedance Learning Control with Faster Re-learning and Reduced Initial Errors in Re-perturbation for Robots Operating in Divergent Force Fields

, 2023
In recent years, robots with higher levels of sophistication in controlling the mechanical impedance of interaction have received increasing attention.
Palanthandalam-Madapusi, Harish, Riswadkar, Shubhankar, Jadav, Shail V., Kadam, Sujay D.   +3 more
core   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Electrode replacement does not affect classification accuracy in dual-session use of a passive brain-computer interface for assessing cognitive workload

Frontiers in Neuroscience, 2015
The passive brain-computer interface (pBCI) framework has been shown to be a very promising construct for assessing cognitive and affective state in both individuals and teams.
Justin Ronald Estepp, James Christopher Christensen   +1 more
doaj   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source