Visual programming for robot control

Cox, Philip T.; Smedley, Trevor J.

doi:10.1109/vl.1998.706166

Cited by 14 publications

(7 citation statements)

References 11 publications

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“…A first attempt on the development of a VP methodology was made by Cox and Smedley [11]. VP has been an ongoing topic of research and was applied in different areas: Cross et al chose a VP approach to develop a less structured, educational hardware platform for components commonly present in class rooms [12], while Diprose et al developed a generalized visual language for arbitrary inputs, devices, sensors etc.…”

Section: Related Workmentioning

confidence: 99%

Virtual commissioning and symbolic planning of micro-optical assembly processes

Wantia

Losch

Rosmann

2015

2015 7th Computer Science and Electronic Engineering Conference (CEEC)

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Automation in micro-optical assembly is an emergent, but steadily growing field of research. To advance the optics industry's efforts in this regard, several methods that aid optics engineers with development and deployment of assembly processes have been proposed. However, it is still a non-trivial and time-consuming task to design efficient work orders that consider movement characteristics of integrated robotic assembly systems.In this contribution, we present an approach to combine wellinvestigated symbolic planning algorithms, semantic modelling techniques and 3D simulation-based virtual commissioning to generate optimized work orders for automated micro-optical assembly and thereby help to overcome the difficulties of manual process design. Our approach is a good example for the efficiency of the eRobotics concept and demonstrates how its systematic application can resolve practical problems with existing approaches.Results indicate that our approach to automated planning is, by enabling a formal definition of quality metrics for action sequences, not only faster but also usually superior to manual generation of work orders.

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Section: Related Workmentioning

confidence: 99%

Virtual commissioning and symbolic planning of micro-optical assembly processes

Wantia

Losch

Rosmann

2015

2015 7th Computer Science and Electronic Engineering Conference (CEEC)

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“…A robot can be instructed using a visual programming language [9][10], which gives a visible representation and a recognizable set of operations. For example, the Lego Mindstorms kit and Microsoft Robotics Studio use blocks and connections to describe a robot's sequence of actions.…”

Section: Related Workmentioning

confidence: 99%

An augmented reality system for teaching sequential tasks to a household robot

Fung

Hashimoto²,

İnami

et al. 2011

2011 Ro-Man

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Abstract-We present a method of instructing a sequential task to a household robot using a hand-held augmented reality device. The user decomposes a high-level goal such as "prepare a drink" into steps such as delivering a mug under a kettle and pouring hot water into the mug. The user takes a photograph of each step using the device and annotates it with necessary information via touch operation. The resulting sequence of annotated photographs serves as a reference for review and reuse at a later time. We created a working prototype system with various types of robots and appliances.

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“…It is interesting to speculate on the possible results of combining the robot-centric visualization described in Section 5.3 with the rule editor, so it could become possible to create new rules based on a situation present in the model. Another approach to this combination, focussing on a direct manipulation of the robot model, can be found in [2].…”

Section: Integrationmentioning

confidence: 99%

A Prototype Inference Engine for Rule-Based Geometric Reasoning

Pfeiffer

2004

Diagrammatic Representation and Inference

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Isaac is a rule-based visual language for mobile robots using evidential reasoning and a fuzzy inference engine. A prototype inference engine for Isaac has been implemented, permitting experiments with the Isaac language. This paper discusses this inference engine, describes some preliminary experiences with programming Isaac rulesets, and proposes future optimizations and enhancements to the inference engine.

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Visual programming for robot control

Cited by 14 publications

References 11 publications

Virtual commissioning and symbolic planning of micro-optical assembly processes

Virtual commissioning and symbolic planning of micro-optical assembly processes

An augmented reality system for teaching sequential tasks to a household robot

A Prototype Inference Engine for Rule-Based Geometric Reasoning

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