By Aleksandar Vakanski, Farrokh Janabi-Sharifi

ISBN-10: 1119091993

ISBN-13: 9781119091998

This publication provides programming via demonstration for robotic studying from observations with a spotlight at the trajectory point of activity abstraction

  • Discusses equipment for optimization of job replica, resembling reformulation of activity making plans as a restricted optimization problem
  • Focuses on regression ways, equivalent to Gaussian mix regression, spline regression, and in the neighborhood weighted regression
  • Concentrates at the use of imaginative and prescient sensors for taking pictures motions and activities in the course of job demonstration through a human activity expert

Show description

Read Online or Download Robot learning by visual observation PDF

Best robotics & automation books

Download e-book for kindle: Automating manufacturing systems with PLCs by Hugh Jack

A close exam of producing keep an eye on platforms utilizing dependent layout equipment. themes comprise ladder common sense and different IEC 61131 criteria, wiring, communique, analog IO, established programming, and communications. Allen Bradley PLCs are used commonly in the course of the ebook, however the formal layout equipment are acceptable to such a lot different PLC manufacturers.

Download PDF by Haruhiko Asada, Kamal Youcef-Toumi: Direct-Drive Robots: Theory and Practice

This publication describes the layout thought and discusses the keep an eye on concerns with regards to the functionality of a direct-drive robotic, in particular, a direct-drive mechanical arm in a position to wearing as much as 10 kilograms, at 10 meters in step with moment, accelerating at five G (a unit of acceleration equivalent to the acceleration of gravity).

Download PDF by Ajith Abraham, Pavel Krömer, Vaclav Snasel: Afro-European Conference for Industrial Advancement:

This quantity comprises authorised papers awarded at AECIA2014, the 1st foreign Afro-European convention for commercial development. the purpose of AECIA used to be to compile the major specialists in addition to very good younger researchers from Africa, Europe, and the remainder of the area to disseminate most modern effects from a variety of fields of engineering, info, and conversation applied sciences.

New PDF release: Analytical Routes to Chaos in Nonlinear Engineering

Nonlinear difficulties are of curiosity to engineers, physicists and mathematicians and plenty of different scientists simply because so much structures are inherently nonlinear in nature. As nonlinear equations are tricky to resolve, nonlinear platforms are usually approximated through linear equations. This works good as much as a few accuracy and a few variety for the enter values, yet a few attention-grabbing phenomena comparable to chaos and singularities are hidden by means of linearization and perturbation research.

Extra resources for Robot learning by visual observation

Sample text

Robot learning from demonstration by constructing skill trees. International Journal of Robotics Research, vol. 3, no. 1, pp. 360–375. , (2014). Learning compliant manipulation through kinesthetic and tactile human–robot interaction. IEEE Transactions on Haptics, vol. 7, no. 3, pp. 367–380. , (2010). Learning actions from observations: primitive-based modeling and grammar. Robotics and Automation Magazine, vol. 17, no. 2, pp. 30–43. , (2002). Mobile robot programming using natural language. Robotics and Autonomous Systems, vol.

Representing the demonstrations at a trajectory level is convenient for specifying the velocities and accelerations at different phases of the demonstrated tasks, as well as for defining the spatial task constraints. This type of task representation also allows encoding of arbitrary gestures and motions, conversely to the symbolic-based representation, where the task representation requires prior knowledge about the elementary components that comprise the demonstrated motions. , statistical models) to reduce the dimensionality of the segmented signals.

In the approach proposed by Chernova and Veloso (2008b) if the robot is not confident about some elements of the demonstrated task, it requests the teacher to perform additional demonstration(s). This way the robot incrementally builds the task model until the level of confidence for the entire task is above a certain threshold value. Still, it is not clear how to automate the process of selection of training examples without relying on the generalization abilities of the teacher. Aleotti and Caselli (2006) proposed a distance metric for clustering the demonstrations into similar patterns, so that the clusters of trajectories can be treated as different skills.

Download PDF sample

Robot learning by visual observation by Aleksandar Vakanski, Farrokh Janabi-Sharifi

by Charles

Rated 4.21 of 5 – based on 14 votes