Search results for: 'Mobility-as-a-Service'

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...

The Advanced Manufacturing Technology Opportunity Engine provides profiles of innovations related to High-Precision Actuators for the Next Generation of Humanoid Robotic, AI-Driven Dexterous Humanoid for Industrial Workforce Collaboration, AI Enabled Hybrid Platform For Enhanced Manufacturing Efficiency, Advanced Spool Welding Robot For Enhanced We...

Hybrid vision systems (HVS) are positioned to substantially impact perception-driven applications across a diverse array of sectors, including robotics, manufacturing, logistics, mobility, surveillance, and agriculture. By intricately combining the geographical precision of LiDAR with the semantic intelligence of advanced imaging systems, these inn...

This report provides a comprehensive analysis of the emerging microrobotics landscape in precision medicine with a focused lens on minimally invasive surgery. It examines the technological evolution of microrobots from magnetically guided prototypes to intelligent, sensor-rich systems capable of targeted interventions at submillimeter scales. The r...

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...

This study examines the emerging landscape of neuromorphic computing and its role in enabling low-power, real-time, brain-inspired intelligence across edge and autonomous systems. It reviews advancements in spiking neural networks, memristor-based computing in memory, event-driven vision sensors, and hybrid neuromorphic and conventional architectur...

Micro-sensors are no longer just components that capture data—they are becoming the intelligence behind connected products and autonomous systems. As industries demand faster decisions, greater reliability, and continuous monitoring, sensing platforms are evolving by combining embedded AI, advanced materials, low-power design, and connected archite...

This Frost Radar™ benchmarks supervisory control and data acquisition (SCADA) platforms for industrial control environments, evaluating leading vendors on innovation and growth. The analysis examines how platforms are evolving to support brownfield modernization, secure remote access, multisite standardization, open architectures, IT/OT integration...

This study examines potential growth opportunities for the collaborative robot (cobot) market across various global industries. Cobots are used in applications wherein they complement the work carried out by human workers rather than replace them. The growing shift toward flexible automation in multiple industries is driving widespread adoption of ...