Robotics simulation plays an important role in the design, development, and verification and
validation of robotics systems. Simulation represents a potentially cheaper, safer, and more …

Testing and debugging have become major obstacles for robot software development,
because of high system complexity and dynamic environments. Standard, middleware …

Unmanned aerial vehicles (UAVs), also known as drones, are acquiring increasing
autonomy. With their commercial adoption, the problem of testing their functional and non …

When developing autonomous driving systems (ADS), developers often need to replay
previously collected driving recordings to check the correctness of newly introduced …

Autonomous Driving Systems (ADSs) are promising, but must show they are secure and
trustworthy before adoption. Simulation-based testing is a widely adopted approach, where …

Robotics simulation plays an important role in the design, development, and verification and
validation of robotic systems. Recent studies have shown that simulation may be used as a …

Multi-objective optimisation (MOO) is a popular approach for finding solutions to many types
of complex problems with large search spaces and conflicting search objectives. In the past …

Control systems are ubiquitous and often at the core of Cyber-Physical Systems, like cars
and aeroplanes. They are implemented as embedded software that interacts in closed loop …

Swarm robotics collectively solve problems that are challenging for individual robots, from
environmental monitoring to entertainment. The algorithms enabling swarms allow …

This is a case study focused on the development of LOVOT, a consumer home robot that
went on sale in 2019. Since its unveiling in 2018, approximately 20,000 people have visited …