Automation as the Subject of Mechanical Engineer’s interest

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Presentation transcript:

Automation as the Subject of Mechanical Engineer’s interest Якушко Катерина Григорівна - к.п.н., ст. викл. кафедри англійської мови для технічних та агробіологічних спеціальностей

PLAN Automatic elements Robot kinds Robot sensors Modern programming Robot Control Architecture

REFERENCES https://ru.wikipedia.org/wiki/U.S._Robotics http://www.agilityrobotics.com/ https://ru.coursera.org/specializations/robotics http://www.livescience.com/topics/robots https://www.nytimes.com/topic/subject/robots http://www.sciencedirect.com/science/article/pii/S0921889016303347

Automatic elements -Strain gauges -Thermo-indicators -Thermoelectric converters -Piezoelectric sensors -Quartz thermocouples -Photoelectric sensors -Microwave sensors -Generator sensors -Induction sensors -Ohmic sensors

Robots kinds 1 Walking Robots Humanoid Robots

Robots kinds 2 Robot Manipulators Mobile Robots

Robots kinds 3 Service Robots Assistance Robots Security guard Delivery Cleaning Assistance Robots Mobility Services for people with disabilities

Robots kinds 4 Traditional industrial robot control uses robot arms and largely pre-computed motions Programming using “teach box” Repetitive tasks High speed Few sensing operations High precision movements Pre-planned trajectories and task policies No interaction with humans

Robots kinds 5 Remote Teleoperation: Direct operation of the robot by the user Simple to install Removes user from dangerous areas Problems: Requires insight into the mechanism Can be exhaustive Easily leads to operation errors

Robot Sensors 1 Internal sensors to measure the robot configuration Encoders measure the rotation angle of a joint Limit switches detect when the joint has reached the limit

Robot Sensors 2 Computer Vision provides robots with the capability to passively observe the environment Stereo vision systems provide complete location information using triangulation However, computer vision is very complex Correspondence problem makes stereo vision even more difficult

Robot Sensors 3 Proximity sensors are used to measure the distance or location of objects in the environment to determine the location of the robot. Infrared sensors determine the distance to an object by measuring the amount of infrared light the object reflects back to the robot Ultrasonic sensors (sonars) measure the time that an ultrasonic signal takes until it returns to the robot Laser range finders determine distance by measuring either the time it takes for a laser beam to be reflected back to the robot or by measuring where the laser hits the object

Modern programming1 Autonomy Intuitive Human-Robot Interfaces Robots have to be capable of achieving task objectives without human input Robots have to be based on sensor information Intuitive Human-Robot Interfaces Use of robots in smart homes can not require extensive user training Commands to robots should be natural for inhabitants Adaptation Robots have to be able to adjust to changes in the environment

Modern programming2 Example Task1: Walk Programming

Robot Control Architecture 1 In a deliberative control architecture the robot first plans a solution for the task by reasoning about the outcome of its actions and then executes it Control process goes through a sequence of sencing, model update, and planning steps

Robot Control Architecture 2 In a behavior-based control architecture the robot’s actions are determined by a set of parallel, reactive behaviors which map sensory input and state to actions.

Robot Control Architecture3 Complex Behavior Architecture Complex behavior can be achieved using very simple control mechanisms Braitenberg vehicles: differential drive mobile robots with two light sensors Complex external behavior does not necessarily require a complex reasoning mechanism + + - - “Coward” “Aggressive” “Love” “Explore”

Robot Control Architecture4 Hybrid Control Policies Task Plan: Behavioral Strategy:

Robot Control Architecture5 Integration of Commands Adjustable Autonomy The robot can operate at varying levels of autonomy Operational modes: Autonomous operation User operation / teleoperation Behavioral programming Following user instructions Imitation Types of user commands: Continuous, low-level instructions (teleoperation) Goal specifications Task demonstrations Example System

Conclusions Robots are an important component in Intelligent Environments Automate devices Provide physical services Robot Systems in these environments need particular capabilities Autonomous control systems Simple and natural human-robot interface Adaptive and learning capabilities Robots have to maintain safety during operation While a number of techniques to address these requirements exist, no functional, satisfactory solutions have yet been developed Only very simple robots for single tasks in intelligent environments exist