Robotics

•LiDAR is an imaging technology that enables distance measurement and the construction of precise and detailed 3D mapping solutions. •4D LiDAR will significantly impact the industrial and the automotive sectors (primarily, autonomous vehicles). For Level 4 and 5 automated driving, the automotive industry will choose 4D LiDAR sensor technology ...

•The need for robotic exoskeletons is driven by the need to eliminate worker injuries, to help disabled individuals walk by providing lower-limb support, and to reduce factory-related fatalities. Robotic exoskeletons are motorized wearable robots that provide superhuman strength to workers, thereby enabling them to lift heavy equipment in applica...

31 Mar 2021  |  Global  |  Technology Research

Autonomous Mobile Robots: R&D Portfolio Assessment

Autonomous Mobile Robots are Finding Wide-range of Applications in Warehouse Management, Last-mile Delivery, Healthcare, Hospitality and Security

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The need for automation in logistics and warehouses is being driven by the increasing popularity of e-commerce which has experienced a further boost, same-day delivery demands, shortage of labor, and the time wasted by labor in travelling long distances and carrying out monotonous tasks and lastly the incapability to scale existing solutions such a...

The major factors driving adoption of flexible manufacturing systems are need for efficient plant floor utilization, pressures to improve quality and increase the variety of products. Adaptive robotics is emerging as a major facilitator and enabling technology for flexible manufacturing. The key challenges facing wide adoption of adaptive robots ar...

Developments in sensory perception technologies for robots have increased the safety standards for robots and co-workers in industrial automation. The earliest applications were in materials handling, spot welding, and spray painting. This research service profiles key developments in sensors within the robotics industry with regard to technology, ...

An assessment of the emerging trends in the field of machine vision systems for industrial automation