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...

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...

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...

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...

This study examines the development prospects that artificial intelligence (AI) offers the commercial vehicle (CV) industry, focusing on both the revolutionary potential of AI and the difficulties businesses face in fostering growth, including complicated regulations, high capital expenditure, and challenges in incorporating new technology into pre...

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...

21 Feb 2025  |  Global  |  Market Research

Electric Three-wheeler Market, India, FY2024–FY2030

E3W Market is Experiencing Transformational Growth by Combining Affordability, Smart Technologies, and Environmental Stewardship across Passenger and Cargo Applications

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India's electric three-wheeler (E3W) industry has emerged as a pivotal force in the country's transition to sustainable transportation. Fueled by rapid urbanization, supportive government policies, and growing environmental concerns, the sector is forecast to maintain its robust growth trajectory. Affordable and eco-friendly, E3Ws are increasingly ...

The additive manufacturing sector has seen significant growth in recent years owing to growing demand for customized products and complex geometries in various sectors, including automotive, defense, aerospace, consumer electronics, manufacturing, and energy. AI has a wide range of applications in additive manufacturing at various levels and is a k...