1. Trang chủ
  2. » Kỹ Thuật - Công Nghệ

Applications of Robotics and Artificial Intelligence Part 14 ppsx

16 372 0

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

THÔNG TIN TÀI LIỆU

Thông tin cơ bản

Định dạng
Số trang 16
Dung lượng 25,29 KB

Các công cụ chuyển đổi và chỉnh sửa cho tài liệu này

Nội dung

3-D vision systems, structured light, and stereo approaches to acquiring depth image are rudimentary and only beginning to emerge from laboratories into commercial systems VLSI implem

Trang 1

Vision Sensors

16 Current commercial systems are

restricted to binary image and simple

features; gray-scale and color are

available today only in very restrictive

form

17 3-D vision systems, structured light, and stereo approaches to acquiring depth

image are rudimentary and only beginning to emerge from laboratories into commercial

systems

VLSI implementation now in labs will be

commercialized This will facilitate edge images from gray-scale data, and richer

feature sets will be developed

Laboratory systems of several varieties

will be commercially available They will produce depth maps in controlled

situations, but they will be slow, will

produce noisy images, and have limited

resolution They will permit 3-D surface

inspection and will discriminate objects

Systems that permit rapid recognition and provide orientation of limited classes of objects from arbitrary points of view

Trang 2

Reliable hardware for depth images and

systems for tracking and recognizing moving objects

Contact and Tactile Sensing

18 Few robots have force or tactile

sensors The IBM RSI is an exception

Limited use of commercialized RCC and IRCC versions of Draper Research products

Force-sensing wrists and techniques for

programming and controlling force will be available They are likely to work only in benign situations, but should be able to

tighten nuts, insert shafts, pack objects simple assembly operations Will not yet be good enough to examine objects by feeling them

Well-established techniques for creating

and using these sensors will be developed Determining shape of objects, detecting

slippage in grip, inspecting for cracks,

and programming in the force domain will be possible Touch sensors will be implemented

in hardware, probably using VLSI

technology This will permit all of the

above and offer a wider range of force

Trang 3

Artificial Intelligence

19 Expert systems that work effectively in providing competent analysis within a

e.g oil exploration, medical diagnosis,

VLSI design, are being customized and

commercialized They are limited by a

narrow body of simple interactions, and

they take a single perspective on the

problem There are no generalized ways to build the expert systems

20 Natural-language data base access

methodology is limited to single-shot query systems for specific data bases Some

require restricted subsets of English

grammar, but others are more general about input Commercial systems are just starting

Automated design assistance for building

and updating expert systems Formalization

of knowledge gathering and integration of graphic displays for use in some

applications Integration with robot

control systems and sensors to provide

controlled expertise for limited domains, e.g., arc welding

Trang 4

New sophisticated dialog capabilities for interactive sessions will appear Some

developments will permit the start of

natural-language data bases The connection

of expert systems to natural language will begin

Integrated systems that draw on multiple

domains of expertise to formulate problem solutions Possibly total automation in

generating new expert systems for certain domains Self-diagnosing and limited

repair of electronic equipment limited

repair of electronic equipment

The hard line between natural-language

query and expert systems will disappear

Systems will be integrated, but the domain

21 Automated assistants research is now

going on in a variety of tasks, such as

word processing, text editing, and office automation ion

22 Knowledge representation in restricted domains is now workable (see entries

19-21) But learning, problem-solving, and

Systems that assist and familiarize users with the capabilities of the system being used

Trang 5

Increased understanding of tradeoffs

between independent and

Integrated systems that draw on multiple

domains and provide the user with with

greater task flexibility

Possibly a notation system that allows

formulation of models that are sensitive to domain constraints without having specific commitments to particular domains

Control Structure/Programming Methodology

23 The control hierarchy of robots

sometimes implemented on multiple

microprocessors has at most 5 levels now.

1 Servo control of joints

2 Coordinate transformation and

coordinated joint motion.

3 Interpolated path planning for smooth

Individual elements of progress (not all in any one offering) will be developed.

Graphical layout of robotic cells and

programming will be commercialized

Trang 6

Hierarchical task-oriented interface

languages designed for process planners

Levels six and seven as defined in the

previous column will permit

domain-dependent , sensor-based intelligent

robots Many integration issues and

advances to technology will still be open questions Robotics will broaden in scope beyond manufacturing to limited-domain

Now In 5 Years In 10 Years

4 Simple subroutines, use of sensors, and lock-step coordination

5 Rudimentary operating system, structural language, complex sensor interface,

Robot operating systems will do more for the user who uses sensors to permit task

orientation

Interfaces to other nonhomogeneous

computers will broaden coordination beyond lock-step available now

Multiple arm, dexterous hand, locomotive control, and other new mechanical advances

Trang 7

will define a sixth level of control and be available

The incorporation of AI technology in the form of expert systems, natural-language

front ends) and knowledge representation

will define a seventh level of control.

Data bases from CAD, CAM) and other

sources will be incorporated to the

REFERENCES

1.

National Bureau of Standards 1980

Proceedings of NBS/Air Force ICAM Workshop

on Robot Interfaces, June 4-6 NBSIR

80-2152.

2 Taylor, R H., P D Summers, and J M Meyer 1982 AML: A Manufacturing Language International Journal of Robotics Research

3 Birk, J and R Kelley, eds 1980

Trang 8

the State of Knowledge in Robotics

University.

4 Roth, B Kinematic Design for

Manipulation, in [3], pp 110-118.

5 Dubowsky, S Dynamics for Manipulation,

in [3], pp 119-128.

6 Houston, R Compliance in Manipulation

7 Paul, R P 1981 Robot Manipulators

8 Brady, M and J Hollerbach 1982 Robot

Control Cambridge, Mass.: MIT Press.

9 Toepperwein, L L., M T Blackmon, R Fukui, W T Park, and B Pollard 1980

ICAM Robotics Applications Guide Vol II

10 Salisbury, J K and J Craig 1982

Control and Kinematic Issues International

Trang 9

Research l(l):4-17.

11 Hollerbach, J M 1982 Workshop on

Dexterous Hands MIT AI Memo.

12.

Orin, D E 1982 Supervisory Control of a Multilegged Robot International Journal of

13 Gleason, G J and G Again 1979 A

Modular Vision System For Sensor Control

Manipulation and Inspection SRI Report,

Project 4391 SRI International.

14 Lavin, M A and L I Lieberman 1982 AML/V: An Industrial Machine Vision System International Journal of Robotics Research

15 Nagel, R N., et al 1979 Experiments

Using Robot Vision SME Technical Paper MS 79-784.

16 Brady, M 1982 Computational

Computing Surveys 14:4-71.

17 Nevins, J L., et al Exploratory

Research in Industrial Assembly and Part

Trang 10

Mating Report No R-1276 Cambridge,

Mass.:

Charles Stark Draper Laboratory 193 pp.

18 Harmon, L D 1982 Automated Tactile Sensing International Journal of Robotics Research 1(2):3-32.

19 Bejczy, A K 1979 Manipulator Control Automation Using Smart Sensors Paper

delivered at Electro/79 Conference, New

York, April 24-26.

20 Raibert, M H and J E Tanner 1982 Design and Analysis of a VLSI Tactile

Sensor International Journal of Robotics Research l(3):3-18.

21 Hillis, W D 1982 A High Resolution Image Touch Sensor International Journal

of Robotics Research l(2):33-44.

22 Albus, J S., A J Barbera, M L

VanderBrug, and T E Wheatley 1980

Model for Adaptive Robots Pp 447-466 in

International Symposium on Industrial

Trang 11

23.

Nagel, R N., et al 1982 Connecting the

MIC Vision System and Other Sensors

Conference Proceedings, Detroit, March 2-4.

24 D R Brown, et al 1982 R&D Plan for Army Applications of AI/Robotics SRI

Project 3736 SRI International 324 pp.

25.

Nau, D S 1982 Expert Computer Systems

and Their Applicability to Automated

Manufacturing NBSIR 81-2466.

26.

Charniak, E., and Y Wilks, eds 1976

An Introduction to Artificial Intelligence

Comprehension Amsterdam: North Holland

27 Lehnert, W., and M Ringle, eds 1982

Trang 12

Language Processing Hillsdale, N.J.:

28 Nilsson, N J 1971 Problem Solving

Intelligence New York: McGraw-Hill.

29.

Schank, R., and R Abelson 1977 Scripts, Plans, Goals and Understanding Hillsdale, N.J.: Lawrence Erlbaum Associates.

30 Waltz, D L 1982 Artificial

247(4):118-133.

31 Winston, P H 1977 Artificial

Addison Wesley.

32 Proceedings for the Conference on

Applied Natural Language Processing, Santa Monica, Calif., February 1983.

33 Proceedings for the Association of

Artificial Intelligence Conference on

Artificial Intelligence (IJCAI 1969, 1973,

1975, 1977, 1979, 1981)

Trang 13

34 Ballard, D H and C M Brown 1982 Computer Vision Englewood Cliffs, N.J.:

Prentice-Hall.

35 Rosenfeld, A 1983 Picture Processing:

1982 Computer Science Technical Report

College Park: University of Maryland.

36 Dennicoff, M 1982 Robotics in Japan Washington, D.C Office of Naval Research.

37 Raibert, M., and J Craig 1981 Hybrid Controller IEEE Systems Management

Cybernetics.

38 Barr, A., and E A Feigenbaum, eds

1981, 1982 Handbook of Artificial

Intelligence, vols I-III Stanford,

Calif.:

HeurisTech Press.

39 State of the Art of Vision in Japan,

1980.

AFOSR Air Force Office of Scientific Research

Trang 14

ASP Automated Ammunition Supply Point

BITE built-in test equipment

CMU Carnegie-Mellon University

FMS flexible manufacturing system

IRCC instrumented remote center of compliance developed at Draper

Trang 15

MIC

MIT

MYCIN

NBC

NBS

NSF

ONR

Prospector

PUFF

P3I

RAIL

RAMS

R&D

REMBASS

RIA

RPI

SAR

SRI

VAL

VHF

VHSIC

VIMAD

VLSI

Trang 16

Machine Intelligence Corporation Massachusetts Institute of Technology

of infectious diseases nuclear, biological) and chemical National Bureau of

pulmonary function diagnosis expert system preplanned product improvement Pascal-based second generation language by IBM reliability, availability,

and supportability research and development

Rensselaer Polytechnic Institute synthetic aperture radar Stanford Research

set of projects for onboard, embedded sensing of vehicular malfunctions with built-in test equipment (BITE)

Ngày đăng: 10/08/2014, 01:22