Enhancing the Quality of Human-Robot Cooperation Through the Optimization of Human Well-Being and Productivity

Abstract In human-robot interaction frameworks maximizing the team efficiency is crucial. However, it also essential to mitigate physical and cognitive workload experienced by shop-floor worker during collaborative task. this chapter we first investigate impact of robot role (whether being leader or follower cooperation) on both human physiological stress production rate. Based that, a game-theoretic approach proposed model trade-off between maximization performance minimization stress. Then, describe closed-loop control strategy based model, enables simultaneously minimize maximize his/her cooperation, adjusting its role. Eventually, real-time task allocation ensure fatigue effectiveness process. This method relies new sophisticated musculoskeletal upper-body. All these methodologies have been experimentally tested in realistic scenarios involving several volunteers ABB IRB 14000 dual-arm “YuMi" robot.