'Robot vision' presentation slideshows

Robot Vision

Robot Vision. Exercise. The task. Robot co-ordinate system. To locate the picking point of the object = Centre of Gravity of the object To measure the rotation of the object = the angle between Y axes and the line going from centre point of mid hole and to centre point outer hole

1.34k views • 111 slides

TAB Meeting IROS 2009, St. Louis IEEE RAS

TAB Meeting IROS 2009, St. Louis IEEE RAS. tab.ieee-ras.org. RAS Technical Activities Board Ken Goldberg, VP Technical Activities Eugenio Guglielmelli, Assoc. VPTA Yasuhisa Hasegawa, Assoc. VPTA Roz Snyder, RAS Exec. Admin RAS Officers 45 Technical Committee co-chairs

651 views • 45 slides

TAB Meeting IROS 2009, St. Louis IEEE RAS

TAB Meeting IROS 2009, St. Louis IEEE RAS. tab.ieee-ras.org. RAS Technical Activities Board Ken Goldberg, VP Technical Activities Eugenio Guglielmelli, Assoc. VPTA Yasuhisa Hasegawa, Assoc. VPTA Roz Snyder, RAS Exec. Admin RAS Officers 45 Technical Committee co-chairs

451 views • 45 slides

T racking L earning D etection

T racking L earning D etection. A Camera that Learns. Why is object tracking so important ?. vehicle detection. motion capture. r obot vision. scene analysis. hand recognition. surveillance. Outline. Why TLD?. - Traditional methods - Challenges to old ways. What is TLD intuitively?.

470 views • 36 slides

Technical Activities Board CASE 2008, Washington, DC Ken Goldberg, VP Technical Activities

Technical Activities Board CASE 2008, Washington, DC Ken Goldberg, VP Technical Activities. tab.ieee-ras.org. RAS Technical Activities Board Ken Goldberg, VP Technical Activities goldberg@berkeley.edu RAS Officers 45 Technical Committee co-chairs 24 Distinguished Lecturers

315 views • 31 slides

Sponsor: Dr. Gita Sukthankar Adviser: Astrid Jackson

The NAO. Soccer Robots Implementing soccer behaviors in the Webots simulator for NAO robots. Kristjan Arumae, Sarah Myhre, Chris Cassian Olschewski. Sponsor: Dr. Gita Sukthankar Adviser: Astrid Jackson Senior Design: Dr. Mark Heinrich. Project Objectives.

413 views • 30 slides

Sa ME 192 Lecture 8/27/14 San Jose State University Overview - Industrial Robotics

472 views • 23 slides

315 views • 17 slides

ROBOT ASSEMBLY

ROBOT ASSEMBLY. T. Bajd and M. Mihelj. Robot assembly. The knowledge on robot assembly is important when planning an intelligent control of a robot assembly cell, usually comprising robot vision, force control and special gripper.

701 views • 15 slides

Chapter 6. Robot Vision

180 views • 15 slides

Computer and Robot Vision II

Computer and Robot Vision II. Chapter 0. Presented by: ??? & ??? 0933 373 485 r94922113@ntu.edu.tw ???? : ??? ??. Course Number: 922 U1200 Credits: 3 Time: Tuesday 6, 7, 8 (2:20PM~5:20PM) Classroom: New CSIE Classroom 107

90 views • 6 slides

OIST Seminar

Real Time Vision Applications Prof. Donald Bailey. OIST Seminar.

174 views • 1 slides