perm filename NSF.HA[DOC,TOB]1 blob
sn#051540 filedate 1973-06-27 generic text, type T, neo UTF8
00100 THE ASSEMBLY SYSTEM
00105
00110 An assembly system is not just a programmable assembly device,
00115 important as that is at this stage of evolution. From an overall
00120 standpoint, the biggest problems in automated assembly are system
00125 problems. We suggest three main facilities of an assembly system that
00130 relate to the total factory automation system: a) design of products
00135 for automated assembly; as described above, many assembly problems
00140 can be simplified enormously by design especially for the abilities
00145 of automated assembly systems. b) programming of assembly devices for
00150 new tasks. c) monitoring of production; this is the most
00155 straightforward of the three functions.
00160
00165 Our experiments in assembly lead us to suggest a form for a general
00170 assembly system, a mini and maxi system. The mini system is a small
00175 configuration minicomputer-based assembly station (possibly stand
00180 alone) tailored to a task by a choice of arm and vision hardware and
00185 software modules. The maxi system is to reside in a factory central
00190 computer which handles scheduling of resources, design,
00195 communication, routing and tracking of parts, etc. The maxi system
00200 interfaces the assembly station with the central computer and
00205 provides the capability for convenient design for automated assembly
00210 and convenient reprogramming of the assembly station for new tasks.
00215 The maxi system takes advantage of design information in the central
00220 system and large file system, graphics, and problem-solving
00225 languages. Its use is shared among many machines since reprogramming
00230 is done at intervals. The mini system is low cost, yet its behavior
00235 can be pre-planned and optimized by the maxi system, utilizing
00240 intelligent and efficient arm planning.
00245
00250 The essential parts of the system are: a) representation
00255 (descriptors) of shape and assembly operations. We have advanced
00260 work with representation and description of complex shapes []. b)
00265 Interactive systems including graphics. Here too, we have
00270 considerable experience and useful existing techniques and systems,
00275 including the interfacing of our representation with graphics
00280 systems. c) Strategies which allow generality. This work is
00285 beginning. d) Description of the assembly process in terms of program
00290 elements. Some work in this direction has been done with development
00295 of the hand language HAL here. We will extend this system to include
00300 vision primitives. The extent of the inclusion of assembly operations
00305 in the language depends upon sophistication of shape and operation
00310 descriptors.
00315
00320
00325 The most obvious form of programming robots is that in use with
00330 current industrial robots, "learning by doing". The robot is led to
00335 end points of a trajectory or along a path by an operator. We are
00340 able to do that already; positions for the pump assembly were
00345 specified in that way. The process could be improved by better
00350 teleoperator control, for example the resolved rate control system at
00355 MIT.
00360
00365 Those techniques are quite limited, however. They are limited to
00370 tasks with positional control only. Where force control is
00375 necessary, the control program must know in what way to control
00380 forces, i.e. what forces to exert or null along what direction
00385 vector. For example, in inserting a rod into a hole, transverse
00390 forces should be nulled. Such tasks require specifying a trajectory
00395 with additional symbolic force control information. Since arm
00400 control will be primarily based on minicomputers in new designs, a
00405 natural mode to accomplish this partially symbolic programming is
00410 with an interactive program, which can be small.
00415
00420 For any task involving a sequence of such operations, the interactive
00425 system allows the operator to choose from a menu of operations and
00430 proceed step by step to assemble a sequence of these operations which
00435 have been verified. Checking the success of these operations could
00440 use simulation if necessary to avoid tying up a production machine.
00445 Useful modules like inserting a screw would be saved as macros so
00450 that subsequent programming sessions would be much simplified,
00455 dealing with combinations of such high level modules. The macros can
00460 have arguments, so that one basic operation can be used in a variety
00465 of situations, and further, our software allows modifying
00470 trajectories so that a planned trajectory allows considerable
00475 variation in execution, without replanning. Ail these facilities
00480 exist. We have built and used such an interactive system for the
00485 hand.
00490
00495 Current work is involved with extending the hand progrmamming
00500 language to include more than one arm. Problems of synchronization
00505 and coordinated motion will be provided for.
00510
00515 Later this work will become the output language for a higher level
00520 processor, in which tasks such as inserting, testing and mating will
00525 be expressible in a simple and direct manner.
00530
00535 As visual feedback is included, the human operator must be able to
00540 interact with the visual system through a graphics console. These
00545 are becoming inexpensive, but it is a resources shared among many
00550 assembly stations. Unlike the hand language, no interactive visual
00555 system exists. We must emphasize that development of the language is
00560 not primarily a language effort, nor is it a statistical learning
00565 system. Rather, we plan that it resemble the hand language, i.e.
00570 embedding the useful set of visual operators in a convenient
00575 interactive system. During the early stages of the effort, the
00580 language will be at a low level, with macros, much as the hand
00585 language is now. That early emphasis will be on building a trial
00590 system based on a lot of experiments done as special cases. This can
00595 be regarded as an extended learning by doing. Meanwhile, our present
00600 efforts on representation of objects will evolve to a state at which
00605 the modelling of objects is integrated with our graphics capabilities
00610 to begin to automate some of the programming of feedback operations,
00615 that is to allow programming at a higher level. It is at this level
00620 that a non-technical worker might accomplsh the programming of visual
00625 feedback tasks.
00630
00635 We will meanwhile work on development of strategies for assembly. The
00640 goal is to produce a language at about the level of an instruction
00645 manual: put the cover (part a) on the opening of part b. At such a
00650 level, the system begins to be applicable to design for automation.
00655 The designer can use the system to simulate the assembly process and
00660 modify designs which are marginal for automatic assembly. He will
00665 have an assembly program as part of the design. Thus, a large part
00670 of programming for assembly may in fact be done by designers.
00675
00680 Several factors may decrease the burden of programming robots for
00685 production line personnel:
00690 libraries of operations-fastening, inserting, etc.
00695
00700 interactive systems which do bookkeeping and
00705 prompt the human operator- an extended sort
00710 of learning by doing
00715
00720 programming by designers.
00725
00730 The process of building the APT-like language for assembly should be
00735 based on design, not on just random accretion, and should be based on
00740 computer science inputs, to maintain modularity and avoid forseeable
00745 and unnecessary limitations on syntax and implementation. It should
00750 be based on a wider perspective than just one industry or the market
00755 strategy of a dominant computer company. With APT, the language was
00760 developed with air frames in mind, and has been clumsy in other
00765 applications. Further, the development should be based on extensive
00770 experience, which can be obtained sooner in a research environment
00775 where a variety of tasks and skills can be investigated.
00780