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Progress and prospects of the human–robot collaboration
Recent technological advances in hardware design of the robotic platforms enabled the
implementation of various control modalities for improved interactions with humans and …
implementation of various control modalities for improved interactions with humans and …
COBOT applications—recent advances and challenges
C Taesi, F Aggogeri, N Pellegrini - Robotics, 2023 - mdpi.com
This study provides a structured literature review of the recent COllaborative roBOT
(COBOT) applications in industrial and service contexts. Several papers and research …
(COBOT) applications in industrial and service contexts. Several papers and research …
Learning physical collaborative robot behaviors from human demonstrations
Robots are becoming safe and smart enough to work alongside people not only on
manufacturing production lines, but also in spaces such as houses, museums, or hospitals …
manufacturing production lines, but also in spaces such as houses, museums, or hospitals …
Impedance variation and learning strategies in human–robot interaction
In this survey, various concepts and methodologies developed over the past two decades for
varying and learning the impedance or admittance of robotic systems that physically interact …
varying and learning the impedance or admittance of robotic systems that physically interact …
A learning-based hierarchical control scheme for an exoskeleton robot in human–robot cooperative manipulation
Exoskeleton robots can assist humans to perform activities of daily living with little effort. In
this paper, a hierarchical control scheme is presented which enables an exoskeleton robot …
this paper, a hierarchical control scheme is presented which enables an exoskeleton robot …
A constrained DMPs framework for robot skills learning and generalization from human demonstrations
The dynamical movement primitives (DMPs) model is a useful tool for efficient robotic
learning manipulation skills from human demonstrations and then generalizing these skills …
learning manipulation skills from human demonstrations and then generalizing these skills …
Learning optimal controllers in human-robot cooperative transportation tasks with position and force constraints
Human-robot collaboration seeks to have humans and robots closely interacting in everyday
situations. For some tasks, physical contact between the user and the robot may occur …
situations. For some tasks, physical contact between the user and the robot may occur …
Learning compliant movement primitives through demonstration and statistical generalization
In this paper, we address the problem of simultaneously achieving low trajectory tracking
errors and compliant control without using explicit mathematical models of task dynamics. To …
errors and compliant control without using explicit mathematical models of task dynamics. To …
Iterative path optimisation for personalised dressing assistance using vision and force information
We propose an online iterative path optimisation method to enable a Baxter humanoid robot
to assist human users to dress. The robot searches for the optimal personalised dressing …
to assist human users to dress. The robot searches for the optimal personalised dressing …
Learning skills from demonstrations: A trend from motion primitives to experience abstraction
The uses of robots are changing from static environments in factories to encompass novel
concepts such as human–robot collaboration in unstructured settings. Preprogramming all …
concepts such as human–robot collaboration in unstructured settings. Preprogramming all …