One of the key issues related to the ongoing pandemic is the need for reduction of direct human-human contact due to risk of contagion, which in turn impacted the global economy, leading to difficult decisions taken by policy makers worldwide. This is because most cooperative activities between humans essentially rely on physical interactions. A far-reaching alternative to putting humans at risk while working together is to use robotic agents whenever possible. Yet, some actions need human physical presence and human-robot collaboration is nowhere close to the speed and efficiency of cooperation between humans. Our project is seeking to change this and explore a novel way for efficient and adaptive human-robot collaboration. By using neural signals recorded from the human brain during real-time interaction with a robotic partner, we will advance the efficiency of cooperation between human and robotic agents, employing the same principles that make humans so proficient in acting together. This way we will develop a rapid safety mechanism for human-robot cooperation and explore the basis for future research on adaptive, neurally-assisted collaborative robots.

Do you accept the use of cookies?

NeuroCobots