--- abstract: 'In this chapter we introduce a method for model-free monocular visual guidance of a robot arm. The robot arm, with a single camera in its end effector, should be positioned above a stationary target. It is shown that a trajectory can be planned in visual space by using components of the optic flow, and this trajector can be translated to joint torques by a self-learning neural network. No model of the robot, camera, or environment is used. The method reaches a high grasping accuracy after only a few trials.' altloc: - http://www.robotic.dlr.de/Smagt/papers/SmaGro97.ps.gz chapter: 3 commentary: ~ commref: ~ confdates: ~ conference: ~ confloc: ~ contact_email: ~ creators_id: [] creators_name: - family: Smagt given: P. van der honourific: '' lineage: '' - family: Groen given: F. honourific: '' lineage: '' date: 1997 date_type: published datestamp: 1998-07-03 department: ~ dir: disk0/00/00/04/93 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: - family: Omidvar given: O. and Smagt honourific: '' lineage: '' eprint_status: archive eprintid: 493 fileinfo: /style/images/fileicons/application_postscript.png;/493/2/SmaGro97.ps full_text_status: public importid: ~ institution: ~ isbn: ~ ispublished: pub issn: ~ item_issues_comment: [] item_issues_count: 0 item_issues_description: [] item_issues_id: [] item_issues_reported_by: [] item_issues_resolved_by: [] item_issues_status: [] item_issues_timestamp: [] item_issues_type: [] keywords: ~ lastmod: 2011-03-11 08:54:00 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: ~ pagerange: 37-73 pubdom: FALSE publication: Neural Systems for Robotics publisher: 'Academic Press, Boston, Massachusetts' refereed: FALSE referencetext: ~ relation_type: [] relation_uri: [] reportno: ~ rev_number: 10 series: ~ source: ~ status_changed: 2007-09-12 16:29:01 subjects: - bio-ani-cog - comp-sci-mach-vis - comp-sci-neural-nets - comp-sci-robot succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: Visual feedback in motion type: bookchapter userid: 462 volume: ~