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of 29
pro vyhledávání: '"Ledermann, Christoph"'
With the goal of efficiently computing collision-free robot motion trajectories in dynamically changing environments, we present results of a novel method for Heuristics Informed Robot Online Path Planning (HIRO). Dividing robot environments into sta
Externí odkaz:
http://arxiv.org/abs/2410.20279
Path planning in a changing environment is a challenging task in robotics, as moving objects impose time-dependent constraints. Recent planning methods primarily focus on the spatial aspects, lacking the capability to directly incorporate time constr
Externí odkaz:
http://arxiv.org/abs/2410.20272
Autor:
Huck, Tom P., Selvaraj, Yuvaraj, Cronrath, Constantin, Ledermann, Christoph, Fabian, Martin, Lennartson, Bengt, Kröger, Torsten
Safety critical systems are typically subjected to hazard analysis before commissioning to identify and analyse potentially hazardous system states that may arise during operation. Currently, hazard analysis is mainly based on human reasoning, past e
Externí odkaz:
http://arxiv.org/abs/2209.12560
Publikováno v:
17th International Conference on Intelligent Autonomous Systems (IAS-17) 2022
We present an online and data-driven uncertainty quantification method to enable the development of safe human-robot collaboration applications. Safety and risk assessment of systems are strongly correlated with the accuracy of measurements: Distinct
Externí odkaz:
http://arxiv.org/abs/2209.00467
We introduce a novel simulation-based approach to identify hazards that result from unexpected worker behavior in human-robot collaboration. Simulation-based safety testing must take into account the fact that human behavior is variable and that huma
Externí odkaz:
http://arxiv.org/abs/2111.14433
During the planning phase of industrial robot workplaces, hazard analyses are required so that potential hazards for human workers can be identified and appropriate safety measures can be implemented. Existing hazard analysis methods use human reason
Externí odkaz:
http://arxiv.org/abs/2103.00973
Publikováno v:
2020 IEEE Symposium on Product Compliance Engineering (SPCE 2020) Proceedings
Industrial human-robot collaborative systems must be validated thoroughly with regard to safety. The sooner potential hazards for workers can be exposed, the less costly is the implementation of necessary changes. Due to the complexity of robot syste
Externí odkaz:
http://arxiv.org/abs/2011.10294
Risk assessment tools for industrial human-robot collaboration: Novel approaches and practical needs
Publikováno v:
In Safety Science September 2021 141
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