In this paper a method to control and teach industrial robots in real-time by human demonstration is presented. This system uses high-intensity visual markers that make it sufficiently robust for industrial environments not requiring special lighting. An automated camera calibration method was implemented which enables any non-skilled user a quick and easy configuration of the system. The teach...

The traditional field of Machine Learning is concerned with techniques for modifying the behavior of a computer agent over time in order to improve its usefulness to people. This problem has traditionally been formulated as an abstract mathematical problem of inducing a generalized function from assertions representing the "perceptions" or "experience" of the agent. This paper argues that this ...

There have been a number o f attempts to overcome some o f the shortcomings of “teaching by guiding” approach. Summers and Grossman1-21 embedded a collection of the sensory information and interaction with the operator in the task instruction procedure. Asada and Assari131 used neural networks to extract the control rules to perform a particular assembly motion from the position and force data ...

This is a demonstration of interactive teaching for practical end-to-end dialog systems driven by a recurrent neural network. In this approach, a developer teaches the network by interacting with the system and providing on-the-spot corrections. Once a system is deployed, a developer can also correct mistakes in logged dialogs. This demonstration shows both of these teaching methods applied to ...

Exoskeletons are utilized extensively in robotic rehabilitation and power augmentation purposes. One of the most recognised control algorithms utilized in this field is the impedance controller. Impedance control approach provides the capability of realizing different rehabilitation exercises by tuning the target impedance gains. Trial and error experimental approach is one of the most common m...

Learning manipulation skills from open surgery provides more flexible access to the organ targets in abdomen cavity and this could make surgical robot working a highly intelligent friendly manner. Teaching by demonstration (TbD) is capable of transferring human humanoid robots employing active learning multiple demonstrated tasks. This work aims transfer motion demonstrations manipulators robot...