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 of robot learning from demonstration
We present a comprehensive survey of robot Learning from Demonstration (LfD), a
technique that develops policies from example state to action map**s. We introduce the …
technique that develops policies from example state to action map**s. We introduce the …
Hands for dexterous manipulation and robust gras**: A difficult road toward simplicity
A Bicchi - IEEE Transactions on robotics and automation, 2002 - ieeexplore.ieee.org
In this paper, an attempt at summarizing the evolution and the state of the art in the field of
robot hands is made. In such exposition, a critical evaluation of what in the author's view are …
robot hands is made. In such exposition, a critical evaluation of what in the author's view are …
Interactive robot task training through dialog and demonstration
Effective human/robot interfaces which mimic how humans interact with one another could
ultimately lead to robots being accepted in a wider domain of applications. We present a …
ultimately lead to robots being accepted in a wider domain of applications. We present a …
Bayesian nonparametric reward learning from demonstration
B Michini, TJ Walsh… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Learning from demonstration provides an attractive solution to the problem of teaching
autonomous systems how to perform complex tasks. Reward learning from demonstration is …
autonomous systems how to perform complex tasks. Reward learning from demonstration is …
Interactive multimodal robot programming
As robots enter the human environment and come into contact with inexperienced users,
they need to be able to interact with users in a multimodal fashion—keyboard and mouse …
they need to be able to interact with users in a multimodal fashion—keyboard and mouse …
Human-machine collaborative optimization via apprenticeship scheduling
Coordinating agents to complete a set of tasks with intercoupled temporal and resource
constraints is computationally challenging, yet human domain experts can solve these …
constraints is computationally challenging, yet human domain experts can solve these …
A visual language for robot control and programming: A human-interface study
We describe an interaction paradigm for controlling a robot using hand gestures. In
particular, we are interested in the control of an underwater robot by an on-site human …
particular, we are interested in the control of an underwater robot by an on-site human …
Gradient-free policy architecture search and adaptation
We develop a method for policy architecture search and adaptation via gradient-free
optimization which can learn to perform autonomous driving tasks. By learning from both …
optimization which can learn to perform autonomous driving tasks. By learning from both …
Human-robot interaction through gesture-free spoken dialogue
V Kulyukin - Autonomous Robots, 2004 - Springer
We present an approach to human-robot interaction through gesture-free spoken dialogue.
Our approach is based on passive knowledge rarefication through goal disambiguation, a …
Our approach is based on passive knowledge rarefication through goal disambiguation, a …