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 executed by human demonstrators. This paper reviews recent research and development in the field of LfD. The main focus is placed on how to demonstrate the example behaviors to the robot in assembly operations, and how to extract the manipulation features for robot learning and generating imitative behaviors. Diverse metrics are analyzed to evaluate the performance of robot imitation learning. Specifically, the application of LfD in robotic assembly is a focal point in this paper
Robot learning from demonstration is a method which enables robots to learn in a similar way as huma...
Robots excel in manufacturing facilities because the tasks are repetitive and do not change. However...
This paper presents DFL-TORO, a novel Demonstration Framework for Learning Time-Optimal Robotic tas...
Learning from demonstration (LfD) has been used to help robots to implement manipulation tasks auton...
The industry robots are widely deployed in the assembly and production lines as they are efficient i...
In the context of robotics and automation, learning from demonstration (LfD) is the paradigm in whic...
Learning techniques are drawing extensive attention in the robotics community. Some reasons behind m...
Robots are destined to move beyond the caged factory floors towards domains where they will be inter...
Learning from Demonstration (LfD) has been used in robotics research for the last decades to solve i...
The paper describes and formalizes the concepts and assumptions involved in Learning from Demonstrat...
The paper describes and formalizes the concepts and assumptions involved in Learning from Demonstrat...
The paper describes and formalizes the concepts and assumptions involved in Learning from Demonstrat...
ABSTRACT Learning from Demonstration (LfD) has become significant and growing need in robotics. Vari...
If a non-expert wants to program a robot manipulator he needs a natural interface that does not requ...
Most people's imagination about robots has been shaped by Hollywood movies or novels, resulting in t...
Robot learning from demonstration is a method which enables robots to learn in a similar way as huma...
Robots excel in manufacturing facilities because the tasks are repetitive and do not change. However...
This paper presents DFL-TORO, a novel Demonstration Framework for Learning Time-Optimal Robotic tas...
Learning from demonstration (LfD) has been used to help robots to implement manipulation tasks auton...
The industry robots are widely deployed in the assembly and production lines as they are efficient i...
In the context of robotics and automation, learning from demonstration (LfD) is the paradigm in whic...
Learning techniques are drawing extensive attention in the robotics community. Some reasons behind m...
Robots are destined to move beyond the caged factory floors towards domains where they will be inter...
Learning from Demonstration (LfD) has been used in robotics research for the last decades to solve i...
The paper describes and formalizes the concepts and assumptions involved in Learning from Demonstrat...
The paper describes and formalizes the concepts and assumptions involved in Learning from Demonstrat...
The paper describes and formalizes the concepts and assumptions involved in Learning from Demonstrat...
ABSTRACT Learning from Demonstration (LfD) has become significant and growing need in robotics. Vari...
If a non-expert wants to program a robot manipulator he needs a natural interface that does not requ...
Most people's imagination about robots has been shaped by Hollywood movies or novels, resulting in t...
Robot learning from demonstration is a method which enables robots to learn in a similar way as huma...
Robots excel in manufacturing facilities because the tasks are repetitive and do not change. However...
This paper presents DFL-TORO, a novel Demonstration Framework for Learning Time-Optimal Robotic tas...