Intelligent Robotics to Boost Collaboration Between People and Devices and Helping Robots to Adapt to Dynamic Situations and Communicate Naturally with People

Enhancement of collaboration with the aid of intelligent robotics and building efficient communication between people and devices presents a larger-scale advantage for practical application. The paper aims at exploring the capacity of intelligent robots to boost collaboration between people and devices and help robots to adapt to dynamic situations and communicate naturally with people. The paper adopts a deductive and qualitative methodology to conduct an empirical study on the topic. The paper elaborates on the use of 3D estimations and the usage of deep learning for pattern recognition to enhance natural communication between robots and humans. The challenges regarding coherence, swiftness and accuracy are also discussed, illustrating the necessity to build a deep neural network that can accommodate the features of intelligent robotics. Therefore, the possibility of enhancing collaboration through the establishment of response patterns that can create effective and communicative relationships between people and devices is present with the help of intelligent robotics.