Search results for: 'robots by application'

This study focuses on heterogeneous computing architectures for automotive and robotics applications, examining how centralized and zonal compute architectures, heterogeneous SoCs integrating CPUs, GPUs, NPUs, DSPs, FPGAs, and dedicated safety islands, as well as robotics edge-AI controllers and mixed-criticality computing platforms, are enabling t...

Labor shortages, inflation, and higher operational costs will force companies to accelerate the pace of advancement and explore various formulas to upgrade technology. The need to increase efficiencies, handle extreme loads, and customize solutions to customer requirements drive the development of autonomous technologies in warehouses across North ...

Advanced robotics and autonomous systems (RAS) are rapidly transforming industrial operations by integrating adaptability, intelligence, and precision into core processes across various sectors, including healthcare, manufacturing, automotive, and agriculture. Continuous advancements in hardware and AI-based decision-making are reshaping the capabi...

Technological innovations such as delivery drones, autonomous driverless cars, and smart factories that have robotic co-workers are already having a profound effect on the way industries function. Widespread adoption of advanced mobile technologies and new platforms and systems are expected. Although it is difficult to predict exactly what advances...

The advanced imaging sensors market is growing rapidly, driven by fast-paced innovations and increasing consumer demand. As industries place greater emphasis on comfort, convenience, safety, and efficiency, the global sensor market for autonomous vehicles and robotics is experiencing exponential growth. Governments and regulatory bodies across regi...

Multimodal sensor fusion is an advanced perception technology that combines data from multiple sensors, including cameras, LiDAR, radar, ultrasonic sensors, thermal cameras, and inertial measurement units (IMUs), to give robots and autonomous systems a more accurate, reliable, and comprehensive understanding of their environment. It overcomes the l...

The automation of off-highway equipment has experienced rapid development in the past 3 years. Globally, the total amount of autonomous off-highway equipment in operation more than doubled to reach approximately 1,700 units in 2022, from approximately 800 in 2021. North America is one of the major off-highway automation hubs, with several pilots...

Industry digitalization increases automation on the factory floor through robots, cobots, and other autonomous machinery such as AGVs and AMRs. With rising adoption, associated issues like charging and maintenance draw focus as handling these autonomous vehicles without creating downtimes or disrupting their performance is a challenge. The ways to ...

Multimodal perception is transforming robotics and automotive systems by combining cameras, lidar, radar, event-based vision, and other sensing technologies through AI-driven sensor fusion. These advances enhance environmental perception, localization, and real-time decision-making. This Frost Radar™ evaluates 11 companies shaping the multimodal pe...