Projects per year
Autonomous robots must operate in complex and changing environments subject to requirements on their behaviour. Verifying absolute satisfaction (true or false) of these requirements is challenging. Instead, we analyse requirements that admit flexible degrees of satisfaction. We analyse vague requirements using fuzzy logic, and probabilistic requirements using model checking. The resulting analysis method provides a partial ordering of system designs, identifying trade-offs between different requirements in terms of the degrees to which they are satisfied. A case study involving a home care robot interacting with a human is used to demonstrate the approach.
|Title of host publication||2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Number of pages||6|
|Publication status||Published - Aug 2017|
|Event||2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017 - Naples, Italy|
Duration: 9 Jul 2017 → 12 Jul 2017
|Name||IEEE International Fuzzy Systems Conference (FUZZ-IEEE)|
|Conference||2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017|
|Period||9/07/17 → 12/07/17|
FingerprintDive into the research topics of 'A fuzzy approach to qualification in design exploration for autonomous robots and systems'. Together they form a unique fingerprint.
- 2 Finished
21/01/13 → 20/06/19