Simulation Platform to Investigate Safe Operation of Human-Robot Collaboration Systems

Bobka, Paul; Germann, Tomas; Heyn, Jakob; Gerbers, Roman; Dietrich, Franz; Dröder, Klaus

doi:10.1016/j.procir.2016.01.199

Cited by 27 publications

(9 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of simulation for analysis of safetycritical systems is well-researched [15]. However, in the domain of robot safety, simulation-based approaches are usually employed on a component-rather than a systemlevel, for example to verify control code or control strategies [16]- [19]. Askarpour et al recently presented a cosimulation approach which couples SAFER-HRC with the simulator MORSE [20].…”

Section: A Tools and Methods For Hazard Analysismentioning

confidence: 99%

Virtual Adversarial Humans finding Hazards in Robot Workplaces

Huck

Ledermann

Kröger

2021

2021 IEEE International Conference on Robotics and Automation (ICRA)

View full text Add to dashboard Cite

Section: A Tools and Methods For Hazard Analysismentioning

confidence: 99%

Virtual Adversarial Humans finding Hazards in Robot Workplaces

Huck

Ledermann

Kröger

2021

2021 IEEE International Conference on Robotics and Automation (ICRA)

View full text Add to dashboard Cite

“…Takata and Hirano [227] presented a solution that adaptively allocates human operators and industrial robots in a shared assembly environment. Bobka et al [27] developed specialised simulation tools using real-world geometrical data to investigate different algorithms and safety strategies. Chen et al [37] introduced an optimisation process with multiple objectives based on simulation for assignment and strategy generation of human-robot assembly tasks.…”

Section: Active Collision Avoidancementioning

confidence: 99%

Symbiotic human-robot collaborative assembly

et al. 2019

View full text Add to dashboard Cite

In human-robot collaborative assembly, robots are often required to dynamically change their pre-planned tasks to collaborate with human operators in a shared workspace. However, the robots used today are controlled by pre-generated rigid codes that cannot support effective human-robot collaboration. In response to this need, multi-modal yet symbiotic communication and control methods have been a focus in recent years. These methods include voice processing, gesture recognition, haptic interaction, and brainwave perception. Deep learning is used for classification, recognition and context awareness identification. Within this context, this keynote provides an overview of symbiotic human-robot collaborative assembly and highlights future research directions.

show abstract

“…Simulation-based techniques, e.g. the CARLA simulator [8], are a common approach to evaluate autonomous systems [5,29,21]. Simulations allow fast iterations over varied configurations, including hazardous ones, without endangering the system itself, or its environment.…”

Section: Introductionmentioning

confidence: 99%

SASSI: Safety Analysis Using Simulation-Based Situation Coverage for Cobot Systems

Lesage

Alexander

2021

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Assessing the safety of collaborative robot (cobot) systems is a difficult task due to the myriad of possible interactions between robots and operators, and the potential for injury to the operators. Using a situation coverage approach we can define the individual components of such interactions, and thereby describe the problem space and the coverage achieved when testing it. In this paper, we propose a situation coverage approach for testing the safety of a cobot system. Our approach suggests using a combination of safety analysis techniques and simulation-based testing to define situations of interest and explore hazardous situations while only endangering virtual operators. We challenge our assumptions by applying our method to an example based on a realworld use-case. The proposed metrics, if they provide no advantage to guided test generation techniques over random ones, helped us trim the generated configuration landscape to identify safety gaps.

show abstract

Simulation Platform to Investigate Safe Operation of Human-Robot Collaboration Systems

Cited by 27 publications

References 0 publications

Virtual Adversarial Humans finding Hazards in Robot Workplaces

Virtual Adversarial Humans finding Hazards in Robot Workplaces

Symbiotic human-robot collaborative assembly

SASSI: Safety Analysis Using Simulation-Based Situation Coverage for Cobot Systems

Contact Info

Product

Resources

About