Recent progress on programming methods for industrial robots

Pan, Zengxi; Polden, Joseph; Larkin, Nathan; Duin, Stephen van; Norrish, John

doi:10.1016/j.rcim.2011.08.004

Cited by 416 publications

(256 citation statements)

References 27 publications

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“…collision avoidance) and end-effector restrictions simplify the programming process. In a different form, robot programming using augmented reality (RPAR) has been proposed by [15] where the robot programming is more intuitive and thus more flexible for SMEs.…”

Section: B Related Workmentioning

confidence: 99%

Robotic technologies for fast deployment of industrial robot systems

Dean-León

Ramirez-Amaro

Bergner

et al. 2016

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society

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Abstract-The development of breakthrough technologies helps the deployment of robotic systems in the industry. The implementation and integration of such technologies will improve productivity, flexibility and competitiveness, in diverse industrial settings specially for small and medium enterprises. In this paper we present a framework that integrates three novel technologies, namely safe robot arms with multi-modal and auto-calibrated sensing skin, a robot control framework to generate dynamic behaviors fusing multiple sensor signals, and an intuitive and fast teaching by demonstration method that segments and recognizes the robot activities on-line based on re-usable semantic descriptions. In order to validate our framework, these technologies are integrated in a industrial setting to sort and pack fruits. We demonstrate that our presented framework enables a standard industrial robotic system to be flexible, modular and adaptable to different production requirements.

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Section: B Related Workmentioning

confidence: 99%

Robotic technologies for fast deployment of industrial robot systems

Dean-León

Ramirez-Amaro

Bergner

et al. 2016

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society

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“…The complexity of robot programming is a commonly discussed problem [17,18]. By abstracting away the underlying details of the system, high-level programming can make robot instruction accessible to non-expert users.…”

Section: Related Workmentioning

confidence: 99%

From High-Level Task Descriptions to Executable Robot Code

Stenmark

Malec

Stolt

2015

Advances in Intelligent Systems and Computing

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Abstract. For robots to be productive co-workers in the manufacturing industry, it is necessary that their human colleagues can interact with them and instruct them in a simple manner. The goal of our research is to lower the threshold for humans to instruct manipulation tasks, especially sensor-controlled assembly. In our previous work we have presented tools for high-level task instruction, while in this paper we present how these symbolic descriptions of object manipulation are translated into executable code for our hybrid industrial robot controllers.

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“…The challenge is that small and medium sized enterprises (SMEs) normally do not have the resources to invest in expensive technologies and extensive human training [2]. In particular, robot programming is a demanding specialised activity that, for non-repetitive tasks, can take several hundred times longer than the actual robot execution time [3].…”

Section: Introductionmentioning

confidence: 99%

“…OLP methods utilise 3D CAD data to generate and test robot programs and are widely used in automation systems with large product volumes [3]. Once the workpiece and robot cell are modelled, the operator can simulate the program and test for collisions.…”

Section: Introductionmentioning

confidence: 99%

“…The focus of this paper is on the problem of automatic program generation in OLP as this is a perceived gap and a requirement, as no system exist in the market which implements the complete offline programming chain, although many separate ad hoc solutions exist [3]. The approach is to incorporate a fast area 3D scanner and propose a methodology for OLP that addresses most of the issues above, and can include pre-and post-verification of welding quality.…”

Section: Introductionmentioning

confidence: 99%

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Robot Trajectory Planning Using OLP and Structured Light 3D Machine Vision

Rodrigues

Kormann

Schuhler

et al. 2013

Advances in Visual Computing

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Abstract. This paper proposes a new methodology for robotic offline programming (OLP) addressing the issue of automatic program generation directly from 3D CAD models and verification through online 3D reconstruction. Limitations of current OLP include manufacturing tolerances between CAD and workpieces and inaccuracies in workpiece placement and modelled work cell. These issues are addressed and demonstrated through surface scanning, registration, and global and local error estimation. The method allows the robot to adjust the welding path designed from the CAD model to the actual workpiece. Alternatively, for non-repetitive tasks and where a CAD model is not available, it is possible to interactively define the path online over the scanned surface.

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Recent progress on programming methods for industrial robots

Cited by 416 publications

References 27 publications

Robotic technologies for fast deployment of industrial robot systems

Robotic technologies for fast deployment of industrial robot systems

From High-Level Task Descriptions to Executable Robot Code

Robot Trajectory Planning Using OLP and Structured Light 3D Machine Vision

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