PPT-Computer and Robot Vision II

Chapter 12 Illumination Presented by 傅楸善 amp 周奕宏 0952 725 532 r97944037ntuedutw 指導教授 傅楸善 博士 DC amp CV Lab CSIE NTU Joke DC amp CV Lab. Robot Obstacle domainofresponsibility (a)Robottoblame Robot Obstacle (b)Bothtoblame Robot domainofresponsibility (c)Sensor-dependentdo-mainofresponsibility Robot Obstacle b Collision (d)Collision,butb Sonia Chernova Manuela . Veloso. Carnegie Mellon University. Computer Science Department. Policy Development. Learning from Demonstration:. Access/select sensor data. Develop actions. Provide demonstrations. Lesson 2. Teaching Assistant: . Roi. . Yehoshua. roiyeho@gmail.com. . Summer 2015. Agenda. Simulating multiple robots in Stage. Collision . avoidance. Robots . synchronization. Creating custom . messages. Chapter 14 . The pinhole camera. Structure. Pinhole camera model. Three geometric problems. Homogeneous coordinates. Solving the problems. Exterior orientation problem. Camera calibration. 3D reconstruction. What is ROBOT ?. DEFINITION. “A reprogrammable, multifunctional manipulator designed to move material, parts, tools, or specialized devices through various programmed motions for the performance of a variety of tasks.”. Daniele . Mazzei. , . Abolfazl. . Zaraki. , Nicole . Lazzeri. and . Danilo. De Rossi. Presentation by: Kaixi Wu. “Social Robots”. Humans are fascinated by robots that can understand and express emotions. Matanya Elchanani and Tarek Sobh. University of Bridgeport. Department of Computer Science and Engineering. Robotics, Intelligent Sensing and Control. RISC Laboratory. The Basic Idea. Robots are controlled locally. Hesham. . Alsahafi. . and . Majed. . Almaleky. Robotics, Intelligent Sensing and Control (RISC) Lab . School of Engineering, University of Bridgeport . ABSTRACT. The accumulation of waste has become a major problem in urban city dumps. There are different kinds of waste that affect our environment, for example metallic and plastic waste. Developing metallic waste collection robot system is mighty challenge. There is very limited research related with robot systems that specialize in the collection and processing of waste. In these slides, we propose robotic system that can be used for waste metallic collection. This robot is equipped with metal detector, ultrasonic sensor, control and power unit, and actuators. This autonomous robot can perform tasks such as obstacle avoidance and metal detection. . Chapter . 2 . Introduction to probability. Please send errata to s.prince@cs.ucl.ac.uk. Random variables. A random variable . x. denotes a quantity that is uncertain. May be result of experiment (flipping a coin) or a real world measurements (measuring temperature). Chapter 19 . Temporal models. 2. Goal. To track object state from frame to frame in a video. Difficulties:. Clutter (data association). One image may not be enough to fully define state. Relationship between frames may be complicated. Activity (60 minutes). 1. Summary so far. The parts of a robot are. A computer that needs to be programmed . (to make decisions). Inputs . (to ‘sense’ via sensors). Outputs . (to ‘act’, e.g., via motors). 1. Image Resampling. Example: . Downscaling from 5×5 to 3×3 pixels. Centers of output pixels mapped onto input image. February 8, 2018. Computer Vision Lecture 4: Color. What are robots?. . What are they used for? . What . could. . robots be used for? . Challenge: . this week you . are going to design a robot and write a persuasive advert for it!. How will it positively impact our lives?. Goal: . Perform kinematic calibration of Galen surgical robot and integrate results into software to improve its accuracy. Background: . Robot is very precise, but manufacturing tolerances reduce accuracy..