A survey of robot learning strategies for human-robot collaboration in industrial settings
Increased global competition has placed a premium on customer satisfaction, and there is a
greater demand for manufacturers to be flexible with their products and services. This …
greater demand for manufacturers to be flexible with their products and services. This …
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 mapping …
learning machine) is trained to perform a task from demonstrations by learning a mapping …
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 …
Human–robot interaction review and challenges on task planning and programming
P Tsarouchi, S Makris… - International Journal of …, 2016 - Taylor & Francis
The wide interest of research and industry in the human–robot interaction (HRI) related
topics is proportional to the increased productivity and flexibility of the production lines, as it …
topics is proportional to the increased productivity and flexibility of the production lines, as it …
Towards vision-based deep reinforcement learning for robotic motion control
This paper introduces a machine learning based system for controlling a robotic manipulator
with visual perception only. The capability to autonomously learn robot controllers solely …
with visual perception only. The capability to autonomously learn robot controllers solely …
Survey: Robot programming by demonstration
Robot PbD started about 30 years ago, growing importantly during the past decade. The
rationale for moving from purely preprogrammed robots to very flexible user-based …
rationale for moving from purely preprogrammed robots to very flexible user-based …
[图书][B] Robot learning from human teachers
S Chernova, AL Thomaz - 2014 - books.google.com
Learning from Demonstration (LfD) explores techniques for learning a task policy from
examples provided by a human teacher. The field of LfD has grown into an extensive body …
examples provided by a human teacher. The field of LfD has grown into an extensive body …
Task-specific generalization of discrete and periodic dynamic movement primitives
Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot
learning. To be effective, action learning should not be limited to direct replication of …
learning. To be effective, action learning should not be limited to direct replication of …
Learning dexterous manipulation for a soft robotic hand from human demonstrations
Dexterous multi-fingered hands can accomplish fine manipulation behaviors that are
infeasible with simple robotic grippers. However, sophisticated multi-fingered hands are …
infeasible with simple robotic grippers. However, sophisticated multi-fingered hands are …
Unsupervised perceptual rewards for imitation learning
Reward function design and exploration time are arguably the biggest obstacles to the
deployment of reinforcement learning (RL) agents in the real world. In many real-world …
deployment of reinforcement learning (RL) agents in the real world. In many real-world …