Approaches to Probabilistic Model Learning for Mobile Manipulation Robots is popular PDF and ePub book, written by Jürgen Sturm in 2013-12-12, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Approaches to Probabilistic Model Learning for Mobile Manipulation Robots can be Read Online from any device for your convenience.
Approaches to Probabilistic Model Learning for Mobile Manipulation Robots Book PDF Summary
This book presents techniques that enable mobile manipulation robots to autonomously adapt to new situations. Covers kinematic modeling and learning; self-calibration; tactile sensing and object recognition; imitation learning and programming by demonstration.
Detail Book of Approaches to Probabilistic Model Learning for Mobile Manipulation Robots PDF
- Author : Jürgen Sturm
- Release : 12 December 2013
- Publisher : Springer
- ISBN : 9783642371608
- Genre : Technology & Engineering
- Total Page : 216 pages
- Language : English
- PDF File Size : 14,5 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Approaches to Probabilistic Model Learning for Mobile Manipulation Robots by Jürgen Sturm, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.
