Nishanth Laxman

• Master of Science
• Senior safety Engineer at Fraunhofer Institute for Experimental Software Engineering

Accepted for publication @ 42nd International Conference on Computer Safety, Reliability and Security (SAFECOMP) in Toulouse, France 19.-22. September 2023 Automated driving systems (ADS) can improve efficiency in logistics and last-mile delivery, but a major challenge is ensuring safety for operational design domain (ODD) expansion or cross-domai...

Autonomous control systems are used in an open environment where humans exist. Therefore, a safety design needs to be created corresponding to evolutions and changes in the behavior of humans and machines in accordance with an open changing environment. In this study, we propose a structure and derivation method of safety rules based on a pairing s...

Automated driving systems (ADS) can improve efficiency in logistics and last-mile delivery, but a major challenge is ensuring safety for operational design domain (ODD) expansion or cross-domain deployment. Various ontologies and formats exist for modeling and representing the operational environment. However, their structuring schemes are not suit...

Coexistence or even cooperation of autonomous mobile robots (AMR) and humans is a key ingredient for future visions of production, warehousing and smart logistic. Before these visions can become reality one of the fundamental challenges to be tackled is safety assurance. Existing safety concepts have significant drawbacks, they either physically se...

To enable resilient, innovative, and sustainable industrialization, adopting the Industry 4.0 (I4.0) paradigm is essential, as it enables distributed, reconfigurable production environments. Fast reconfiguration, and hence flexibility, is further achieved by employing human-robot-collaborations—but this poses challenges with respect to human worker...

Coexistence or even cooperation of autonomous mobile robots (AMR) and humans is a key ingredient for future visions of production, warehousing and smart logistic. Before these visions can become reality one of the fundamental challenges to be tackled is safety assurance. Existing safety concepts have significant drawbacks, they either physically se...

Traditionally, integration and quality assurance of embedded systems are done entirely at development time. Moreover, since such systems often perform safety-critical tasks and work in human environments, safety analyses are performed and safety argumentations devised to convince certification authorities of their safety and to certify the systems...

Ipso facto “Uncertainty is certain” makes design and development of Cyber Physical Systems (CPS), specifically for safety critical scenarios, a challenging process. CPS are expected to function safely in unforeseen contexts, which are often characterized by the pervasive presence of uncertainty. There is a multitude of research and numerous approac...

Uncertainty is certain"-a well-established fact that challenges design and engineering of dynamic systems. Cyber Physical Systems (CPSs) must function and perform tasks safely in real world contexts that might not be engineered specifically for them. These dynamic contexts are often accompanied by the pervasive presence of uncertainty. The dynamic...

“Uncertainty is certain” – a well-stablished fact that challenges design and engineering of dynamic systems. Cyber Physical Systems (CPSs) must function and perform tasks safely in real world contexts that might not be engineered specifically for them. These dynamic contexts are often accompanied by the pervasive presence of uncertainty. The dynami...

In times of volatile market situations and fast-changing production demands, reconfigurable systems offer better production adaptability as compared to conventional machinery. These systems deploy Plug-and-Produce (PnP) technology that allows fast integration and reconfiguration of modular machine components. In the manufacturing domain, safety eng...

Collaborative embedded systems (CES) typically operate in highly dynamic contexts that cannot be completely predicted during design time. These systems are subject to a wide range of uncertainties occurring at runtime, which can be distinguished in aleatory or epistemic. While aleatory uncertainty refers to stochasticity that is present in natural...