Nvidia makes headlines at Computex Taipei with revolutionary humanoid robotics and NVLink Fusion technology, driving innovation in AI and data center solutions.

Cloth folding, bowl stacking

To use this dataset:

import tensorflow_datasets as tfds

ds = tfds.load('roboturk', split='train')
for ex in ds.take(4):
 print(ex)

See the guide for more informations on tensorflow_datasets.

The Micro Inertial Navigation System (Micro INS) market is experiencing robust growth, projected to reach a market size of $267 million in 2025. While the exact Compound Annual Growth Rate (CAGR) is not provided, considering the technological advancements driving miniaturization and increased accuracy in INS technology, and the rising demand across diverse applications, a conservative estimate for the CAGR during the forecast period (2025-2033) would be around 8-10%. This growth is fueled by several key drivers. The increasing adoption of autonomous vehicles, drones, and robotics across civilian and military applications is significantly boosting the demand for precise and compact navigation systems. Furthermore, advancements in MEMS (Microelectromechanical Systems) technology are enabling the production of smaller, lighter, and more energy-efficient Micro INS units, opening up new market opportunities. The ongoing development of high-precision, low-cost Micro INS sensors is also contributing to wider adoption across various industries. Segmentation by accuracy (0.1°, 0.2°, 0.3°, and other) reflects the diverse application needs, with higher accuracy systems catering to critical applications in defense and aerospace. Geographical expansion is another prominent driver, with North America and Asia Pacific anticipated to hold significant market share due to substantial investments in technological advancements and a large presence of key players in these regions. However, potential restraints like the high initial cost of implementation and the need for robust calibration procedures could influence market penetration in some sectors. The forecast period (2025-2033) is expected to witness considerable market expansion. The continuing miniaturization of Micro INS technology alongside the expansion of applications into sectors such as precision agriculture, smart infrastructure, and advanced logistics will drive this growth. The ongoing research and development efforts focused on improving accuracy, reliability, and reducing power consumption will further fuel market expansion. Competitive landscape analysis indicates that companies like RTX, SBG Systems, Honeywell, and others are actively involved in product development and market penetration. These companies' focus on innovation and strategic partnerships will play a significant role in shaping the future trajectory of the Micro INS market. However, the potential emergence of new technologies and the intense competition among established players could influence the market dynamics in the years to come.

The Unmanned Surface Vessel (USV) Following System market is experiencing robust growth, driven by increasing demand for autonomous maritime operations and advancements in sensor technologies. The market, currently valued at $857 million in 2025, is projected to exhibit a significant Compound Annual Growth Rate (CAGR). While the exact CAGR isn't provided, considering the technological advancements and the growing adoption of USVs across various applications, a conservative estimate of the CAGR would be between 8% and 12% for the forecast period of 2025-2033. This growth is fueled by several key factors. The rising need for enhanced maritime safety and security, particularly in search and rescue operations and environmental monitoring, is a primary driver. Furthermore, the increasing adoption of USVs for commercial purposes, such as maritime logistics and environmental protection, is significantly contributing to market expansion. The diverse range of following systems, including visual, laser, inertial navigation, sonar, and radar systems, caters to various operational requirements and environmental conditions, further fueling market growth. Several trends are shaping the future of the USV Following System market. The integration of advanced artificial intelligence (AI) and machine learning (ML) algorithms is enhancing the precision and autonomy of USV following systems, improving their efficiency and reliability. The miniaturization and cost reduction of sensors are also making these systems more accessible to a broader range of users. However, challenges remain. The high initial investment cost of sophisticated systems and the need for specialized expertise to operate and maintain them can act as restraints. Nevertheless, ongoing technological advancements and government initiatives promoting autonomous maritime systems are expected to mitigate these challenges, paving the way for sustained market growth in the coming years. The market segmentation by system type and application further reveals promising opportunities, with marine environmental protection and maritime operations leading the demand. Geographically, North America and Europe are expected to remain dominant markets due to advanced technological capabilities and high adoption rates. However, the Asia-Pacific region presents a significant growth potential due to increasing investments in maritime infrastructure and the expanding use of USVs in this region.