Page 45 - Robotics and AI class 10
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9.  What is the future of robotics?
              Ans.  The future of robotics is  promising,  with continued advancements in artificial intelligence, machine learning, and
                  automation, leading to more sophisticated and capable robots that will play an increasingly significant role in various
                  aspects of human life.
               10.  How do rehabilitation robots contribute to the recovery and mobility of patients with mobility impairments?
              Ans.  Rehabilitation robots assist in the recovery and rehabilitation process for patients with mobility impairments. These
                  robots help patients regain muscle strength, coordination, and motor skills.
            B.  Long answer type questions:

               1.  How do robotic prosthetics help in the natural movement of individuals?
              Ans.  Robotic prosthetics  are advanced artificial  limbs  that provide enhanced  functionality and natural  movement for
                  individuals who have lost a limb. These prosthetics are equipped with sensors and motors that mimic human limb
                  motion and respond to the user’s intent. They offer improved dexterity, grip strength, and proprioception, enabling
                  users to perform daily activities more effectively.
               2.  What are the primary roles and purposes of autonomous drones?
              Ans.  Autonomous drones are also known as Unmanned Aerial Vehicles (UAVs). These drones can operate and navigate
                  without human intervention. These are equipped with sensors, GPS systems, and onboard computers that enable them
                  to perform tasks and make decisions autonomously. They can fly pre-programmed routes, navigate obstacles, and
                  perform specific functions based on their intended purpose.
               3.  What are the advantages of implementing smart home technologies for homeowners?
              Ans.  The advantages of implementing smart home technologies for homeowners are:
                  •  Increased energy efficiency and cost savings through optimised resource usage.
                  •  Enhanced security and safety with real-time monitoring and remote control of home systems.
                  •  Convenience and time savings by automating routine tasks and managing home functions remotely.
                  •  Improved comfort and customisation with personalised settings for lighting, temperature, and entertainment.
                  •  Access to real-time information and notifications, providing homeowners with peace of mind.
                  •  Potential for improved health and well-being through smart health monitoring devices and systems.
                  •  Integration with smart assistants and voice control for a hands-free and intuitive user experience.

               4.  What are the features and capabilities of assistant robots?
              Ans.  The features and capabilities of assistant robots are:
                  •   Voice Recognition and Natural Language Processing: The robot is equipped with sophisticated speech recognition
                    and natural language processing technologies. It can understand and interpret spoken commands or questions from
                    users, allowing for seamless human-robot interaction.
                  •   Mobility  and Navigation: The robot is  equipped with sensors  and navigation systems  that enable it to move
                    autonomously within the home environment. It can navigate through different rooms, avoid obstacles, and reach
                    specified destinations.
                  •  Task Assistance: The home assistance robot can perform a wide range of tasks to support individuals.
               5.  What is Non-Axiomatic Reasoning System, and how does it differ from traditional logic-based systems in terms of
                  reasoning, learning, and handling uncertainty?
              Ans.  Non-Axiomatic Reasoning System (NARS) is a cognitive architecture developed by Pei Wang that aims to model human-
                  like reasoning and learning processes. NARS is based on the idea that intelligent systems should be able to reason and
                  learn without relying on a fixed set of axioms or pre-determined knowledge.
                  Traditional logic-based systems often rely on a set of axioms or initial assumptions to guide the reasoning process.
                  However, NARS takes a different approach by allowing the system to generate its own knowledge through a combination
                  of deductive and inductive reasoning, as well as learning from experience.



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