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    Home » Expert Insights on the Future of Robotics – IT News Africa
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    Expert Insights on the Future of Robotics – IT News Africa

    ZEMS BLOGBy ZEMS BLOGJanuary 9, 2024No Comments2 Mins Read
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    Yaskawa Southern Africa, a major robotics and automation company that is at the forefront of embracing industry-shaping trends, envisions a profound impact from moving AI forward.

    They predict that machine learning and deep learning will enhance the perception and decision-making capabilities of robots and that edge computing has the potential to reduce latency and improve real-time decision-making for robots.

    Advances in artificial intelligence and machine learning will bring innovations to the world of robotics that will begin to appear in various industries – expected to increase efficiency and productivity. Yaskawa imagines that robots will begin to appear more and more over time. Here's how Yaskawa envisions robots being integrated into all areas of society:

    Collaborative robots (collaborative robots) and safety technologies enable close interaction between humans and robots in shared workspaces. With these developments, the South African manufacturing sector can expect seamless integration between humans and robots in the future, enhancing productive and efficient work environments.

    It is expected that in 2024, there will be increased use of innovations in sensing technologies, including LiDAR, or light detection and ranging – a remote sensing method that uses light in the form of a pulsed laser to measure ranges – and radar, as well as improved computer vision. It will enhance the cognitive capabilities of robots.

    The transformative role of artificial intelligence and machine learning will enhance robot cognition, adaptive decision making, predictive maintenance, and task automation. All of these developments are consistent with South Africa's goal of integrating intelligent automation to enhance productivity and competitiveness.

    Yaskawa recognizes the transformative role of artificial intelligence and machine learning, enhancing robotics cognition, adaptive decision making, predictive maintenance, and task automation, and will work at the forefront of these transformations.

    These developments are consistent with South Africa's goal of integrating intelligent automation to enhance productivity and competitiveness in a rapidly changing global landscape.



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