PDF-CuBi: A Decluttering Robot

Conceptual Design Review MRSD Team D Stakeholders Customer Cyert Center for Early Education Mentor Dr David Held Professors Dr Dimitrios Dimi Apostolopoulos Dr John M Dolan The Te. Robot Obstacle domainofresponsibility (a)Robottoblame Robot Obstacle (b)Bothtoblame Robot domainofresponsibility (c)Sensor-dependentdo-mainofresponsibility Robot Obstacle b Collision (d)Collision,butb Adam Finkelstein. COS 116: Spring . 2012. Today: Understanding a simple robot. Why?. Larger goal: seek an answer to. . “. What is Computation?. ”. Acquire insight into technology that will . become pervasive within the next decade.. T. . Bajd. and M. . Mihelj. Proprioceptive sensors. position . velocity . joint torques. Exteroceptive. sensors. force sensors . tactile sensors . proximity sensors. distance sensors. Robot sensors. Gui. . Cavalcanti. 5/12/2011. Locomotion and Manipulation. Overview. Locomotion. Types of locomotion. Stability. Locomotion design. Models. Types of control. Gaits. Manipulation. Compliance. Forward . Prepared by. Haya De’bas. Jumanah Salhab. Supervisor. Dr. Ra’ed Al-. Qadi. Outline. What is smart plant robot. Overview. Motivation. Constraints. Methodology. Future Work. What is smart plant robot?. – . some . issues in   controller design and . implementation. L. Huang. School of Engineering and Advanced Technology Massey University. Outlines. Introduction. Target . tracking control schemes based on . 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.”. EEL5666. Robert Hartwell. 31 Jan 2012. Summary. 1: Scope. Take a wireless drink order, navigate to drink station and correctly mix the drink. 2: Gain from the solution to the problem. Mixed drinks and inebriation. Hideki . Kozima. and Hiroyuki Yano. Introduction. Shift . from . intentional . stance to design . stance. Attribute ability to the designers not the robot.. I. magine . a robot that has learned and . “Dummies”. https. ://www.youtube.com/watch?v=46ivFpsmEVQ#t=. 356. Multi-Robot (Multi-Agent) Systems. Homogenous / Heterogeneous. Communicating / Non-Communicating. Cooperative / Competitive. Multi-Robot Systems. 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. . José Joaquín . Alcaina. Acosta. José Luis Racero Robles. Goal. of . the. . project. . work. Control an oscillation . dampingsystem. of a spherical robot.. Control . the. . ball. . measuring. Cubi T 16 Table LampLeucos Design Lab 2000DimensionsWidth 433 inDepth 433 inHeight 61 inWeight 22 lbsCord Length 591 inShippingWeight732 225 0010salesusleucoscomwwwleucos