OBJECTIVE The objective of this work was to examine human response to motion-level robot adaptation to determine its effect on team fluency, human satisfaction, and perceived safety and comfort. BACKGROUND The evaluation of human response to adaptive robotic assistants has been limited, particularly in the realm of motion-level adaptation. The lack of true human-in-the-loop evaluation has mad...

Accelerating technological developments and increasing competition make it important to secure the development of production solutions that allows for resource efficient layouts continuous improvements. When developing solutions, usage digital tools is an asset supports preparation engineers in their work. However, emerging possibilities design where operator a robot collaboratively share task,...

Humans cannot always be treated as oracles for collaborative sensing. Robots thus need to maintain beliefs over unknown world states when receiving semantic data from humans, well account possible discrepancies between human-provided and these beliefs. To this end, paper introduces the problem of association (SDA) in relation conventional problems sensor fusion. It then develops a novel probabi...

Safety plays a key role when implementing collaborative robots (cobots) in human-shared workspace scenarios. Nevertheless, the significance and understanding of safety-related aspects may significantly vary with different stakeholders’ perspectives. In particular, there is often misconception that cobots are inherently safe result underestimating need adopting adequate safety measures features ...

Precise coordinated planning over a forward time window enables safe and highly efficient motion when many robots must work together in tight spaces, but this would normally require centralised control of all devices which is difficult to scale. We demonstrate GBP Planning, new purely distributed technique based on Gaussian Belief Propagation for multi-robot problems, formulated by generic fact...