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Recent advances in robot learning from demonstration
In the context of robotics and automation, learning from demonstration (LfD) is the paradigm
in which robots acquire new skills by learning to imitate an expert. The choice of LfD over …
in which robots acquire new skills by learning to imitate an expert. The choice of LfD over …
Imitation learning: A survey of learning methods
Imitation learning techniques aim to mimic human behavior in a given task. An agent (a
learning machine) is trained to perform a task from demonstrations by learning a map** …
learning machine) is trained to perform a task from demonstrations by learning a map** …
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 …
[HTML][HTML] A survey of robot manipulation in contact
In this survey, we present the current status on robots performing manipulation tasks that
require varying contact with the environment, such that the robot must either implicitly or …
require varying contact with the environment, such that the robot must either implicitly or …
[HTML][HTML] Robot learning from demonstration in robotic assembly: A survey
Learning from demonstration (LfD) has been used to help robots to implement manipulation
tasks autonomously, in particular, to learn manipulation behaviors from observing the motion …
tasks autonomously, in particular, to learn manipulation behaviors from observing the motion …
A survey on policy search for robotics
Policy search is a subfield in reinforcement learning which focuses on finding good
parameters for a given policy parametrization. It is well suited for robotics as it can cope with …
parameters for a given policy parametrization. It is well suited for robotics as it can cope with …
Probabilistic movement primitives
Movement Primitives (MP) are a well-established approach for representing modular and re-
usable robot movement generators. Many state-of-the-art robot learning successes are …
usable robot movement generators. Many state-of-the-art robot learning successes are …
Human-robot co-carrying using visual and force sensing
In this article, we propose a hybrid framework using visual and force sensing for human-
robot co-carrying tasks. Visual sensing is utilized to obtain human motion and an observer is …
robot co-carrying tasks. Visual sensing is utilized to obtain human motion and an observer is …
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 …
Variable impedance control and learning—a review
Robots that physically interact with their surroundings, in order to accomplish some tasks or
assist humans in their activities, require to exploit contact forces in a safe and proficient …
assist humans in their activities, require to exploit contact forces in a safe and proficient …