Visual programming languages (VPLs) – one of the instruments belonging to the broad categories of methods and tools devised to support end-user development (EUD) – promise to offer an intuitive way to overcome these limitations, by providing easy-to-use and efficient interfaces for encoding applications’ logic. However, the creation of interactive applications could represent a challenging task, especially for users lacking computer skills. The introduction of interactive assets in public exhibitions is capable to significantly enhance the visitors’ user experience. PyMoCo may be considered a feasible and flexible framework Milliseconds and jitter tolerance at the order of a millisecond, Hz, computation deadlines no shorter than some couples of With a control frequency not exceeding a couple of hundred Usability of PyMoCo as a motion control framework and PythonĪs a robotics application platform. Sensor- and vision-based robot control has demonstrated the Laboratory applications involving real-time DesigningĪnd implementing new trajectory generators and integrating orĮxtending the included trajectory generators is central to theĭesign of PyMoCo. Of simple trajectory generators, which are comparable to thoseįound in contemporary industrial robot controllers. The presented framework, dubbed PyMoCo, supplies a set Lower code complexity, and a large amount of accessible Sensors and other external systems, may benefit from theĮfficiency of Python in terms of reduced development time, Trajectory generation, and a high level of integration with Robotic applications requiring advanced, custom Real-time trajectory generation in Python, from a PC withĬonnection to the motion controller in an industrial robotĬontroller. It serves as a proof of concept for performing The framework is implementedĮntirely in Python. This research represents a significant advancement in applied computing for building demolition waste recycling and notably, it improves the quality of information available in the definition of building demolition strategies.įramework for external real-time trajectory generation for It also contributes to a better understanding of the relationship between demolition strategy and waste sortability. The comparative analysis of quantitative data allows demolition professionals to find optimal and more sustainable demolition solutions and more efficient and safer implementation on site. Modelling and evaluating the demolition process and its impact on material waste recovery with a time dimension is novel. Further research is required to understand the impact of complex machine mechanic movements and processes on complex building fabrics. The simulation was limited to a simple machine-led demolition strategy. Thus, simulation results can potentially support better decision making related to the definition of demolition strategies associated with recycling and re-use targets. The simulation successfully estimated the efficiency and efficacy of the different demolition strategies. The simulation of the information workflow was tested through case study using two demolition strategies. Waste recovery and treatment complemented the simulation algorithm. The dynamic assessment of demolition, collision and mechanical impact was measured through computerised 4D motion game and physics engines. The purpose of this paper is to develop a novel tool to support decision making for enhanced demolition process efficiency and material waste sortability through computerised 4D motion workflow simulation.Ī time-lapse evaluation model was developed to classify and estimate the impact of building demolition processes and material waste recovery.
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