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Page 30 - Toucpad robotics C11
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    VR/AR                                                        IoT

                                    3D Printing                                              Cloud Computing

                                     Robotics                                                   Big Data
                                                                 Smart Factory

                                    Automation                  Cyber Resistant                 ERP/SCM
                                                               Connectivity and
                                                                  Networks

                                  Design Smart Products         Digital Production           Digital Services

                                                      Data Protection and Information Security

                  Collaborative Robots (Cobots)
                      Concept: Unlike traditional  industrial  robots,  which are often  caged  for  safety,  cobots  are designed  to  work
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                      safely alongside human employees, sharing the workspace without physical barriers. They use advanced sensors
                      (like force-torque sensors and vision systems) and AI to detect human presence and movements, ensuring safety by
                      slowing down or stopping if a human gets too close.
                      AI/ML Application: Machine Learning algorithms enable cobots to learn tasks by demonstration (e.g., a human guiding
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                      the robot’s arm once, and the cobot learns the motion) and adapt to variations in the workpiece or environment.
                      They use AI for real-time risk assessment.
                      Impact: Increased flexibility in production lines, improved productivity through human-robot synergy, reduced injury
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                      risk for monotonous or strenuous tasks, and enablement of high-mix, low-volume production.
                      Example: In an electronics assembly plant, a cobot might hold a circuit board in place while a human worker manually
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                      inserts tiny components, or vice-versa. The cobot’s AI ensures it doesn’t collide with the human’s hand, making the
                      process faster and safer.
                  Autonomous Mobile Robots (AMRs) for Logistics

                      Concept: AMRs are intelligent robots that navigate dynamic
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                      environments  without  requiring  fixed  tracks  or magnetic
                      strips. They use sophisticated mapping, localization, and path
                      planning algorithms,  often powered by  AI,  to  move goods,
                      materials,  or components  autonomously  within  factories  or
                      warehouses.
                      AI/ML Application: AI-powered Simultaneous  Localisation
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                      and Mapping (SLAM) algorithms allow AMRs to build maps of
                      their surroundings while simultaneously figuring out their own location within that map. Machine Learning helps them
                      learn optimal routes, predict traffic patterns, and navigate complex, changing environments efficiently.
                      Impact: Revolutionised  internal logistics,  significantly  reducing  material  handling costs,  improving  efficiency,
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                      increasing throughput, and enabling 24/7 operation in warehouses.

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                  Touchpad Robotics - XI

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