In the evolving landscape of power battery and Embodied AI development, the industry is witnessing a significant shift from purely data-driven approaches to a hybrid model that combines physical modeling with data optimization. This transition is driven by the limitations encountered in existing Battery AI technologies, which have struggled to deliver optimal performance solely through data analysis. By integrating established electrochemical theories, such as solid electrolyte interphase (SEI) layer growth and lithium plating, researchers and developers are laying a robust foundation for future advancements. This hybrid approach aims to enhance the efficiency and effectiveness of battery technologies, addressing the growing demand for improved energy storage solutions. The move towards this innovative paradigm reflects the industry's commitment to overcoming current challenges and fostering sustainable energy advancements.
Thermal Runaway Limits in Embodied AI Batteries: The Electrically Debondable Tape Solution
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Challenges in Commercializing Embodied Intelligence: Hardware and Engineering Focus
As robots demonstrate capabilities like running and jumping, the industry consensus is clear: technical prototypes do not equate to commercial products. The competition in the embodied intelligence sector has shifted from algorithmic prowess to a comprehensive evaluation of hardware engineering, supply chain systems, and cost-benefit analysis in real-worl...
Robotics Hardware Engineering Supply Chain Management
Connecting Teams and Data: A Path to Better Decision-Making in Manufacturing
Manufacturers face challenges in decision-making due to siloed data and departmental priorities. Engineering, procurement, and operations often operate independently, leading to short-term focus over long-term strategy. To adapt to pressures like AI and electrification, companies must connect data across functions, enabling informed decisions that conside...
The Shift of Embodied Intelligence at IFA: Chinese Robots Lead the Way
The IFA Next event showcased the largest humanoid robot display to date, with a significant focus on physical AI. Chinese companies dominated the exhibition, with over 1,000 exhibitors from China, marking a historic record. The event featured a runway show for humanoid robots, primarily from Chinese firms, highlighting the industry's shift towards interna...
Robotics AI Consumer Electronics
Embodied Intelligence Industry Sees Rapid Growth Amidst Uneven Funding Landscape
In the early hours of the morning in Nanshan, Shenzhen, an entrepreneur concluded a pitch presentation on embodied intelligence, highlighting its potential as a trillion-dollar sector. The first half of 2026 saw over 500 companies mention 'embodied intelligence' in their reports, with a staggering 322 financing events totaling 93.5 billion yuan, surpassin...
Embodied Intelligence Investment Trends Startup Ecosystem
International Embodied Intelligence Skills Competition Launches Global Recruitment for Real Workstations
The International Embodied Intelligence Skills Competition has officially launched its global recruitment initiative, moving beyond traditional exhibition stages. This shift emphasizes the importance of practical applications of embodied intelligence in real-world workstations, showcasing the competition's commitment to integrating advanced robotics skill...
Robotics Automation AI
China’s Dexterous Hand Industry, 2026 Part 3 — The Players
Five vendor archetypes, MIR’s composite top ten, eight company profiles and six field deployments — every firm linked to the RobotToday supplier directory.
Components and Hardware Humanoids
AGIBOT Open-Sources 11,430 Robot Trajectories to Enhance Reinforcement Learning Research
AGIBOT, a Chinese robotics company, has released its WORLD 2026 dataset, featuring 11,430 robot trajectories aimed at advancing research in reinforcement learning for embodied AI. This dataset emphasizes learning from real-world interactions, capturing a range of experiences including successes, failures, and human interventions. The significance of this ...
AI and Robotics
MIT Lincoln Laboratory Researchers Explore Arctic Under-Ice Sounds and Communication Technologies
Researchers from MIT Lincoln Laboratory have been analyzing under-ice sounds in the Arctic, utilizing commercial sensors deployed during the U.S. Navy's Operation Ice Camp (OIC). Their work aims to understand sound propagation through ice, which is crucial for monitoring environmental changes and military activities in the region. The significance of this...
Research Sensors Magnets
Data Collectors at JD Teach Robots to Live Like Humans Through Daily Activities
At JD's Robot Data Collection Center in Suqian, data collectors are teaching robots to mimic human activities such as cooking and scanning. This innovative approach transforms everyday actions into precise data points, essential for training embodied intelligent models. The center aims to collect over 10 million hours of quality data within two years, rec...
AI Data Collection Robotics
Lan Xiaohuan Discusses China's Data Economy, Robotics, and AI Landscape
Lan Xiaohuan, an economics professor at China Europe International Business School, has authored the bestselling book, How China Works: An Introduction to China’s State-led Economic Development. In his discussions, he highlights the economic factors contributing to China's significant trade surplus and advocates for an enhanced social safety net. Xiaohuan...
JD Cloud Pursues 'Physical AI' Vision from Airport Advertising to JDD Conference
JD Cloud is advancing its 'physical AI' initiative, which spans from advertising in airports to its annual JDD conference. This strategy focuses on integrating robots, embodied data, and home devices, marking a shift as AI technology transitions from digital screens into tangible real-world applications. This development is significant as it highlights JD...
China’s Dexterous Hand Industry, 2026 Part 2 — The Technology
Linkage, tendon, direct drive or hybrid — and why hardware is converging while the DL1–DL5 manipulation scale decides who wins. Part 2 of 3.
Components and Hardware
BioRobotics Laboratory, Korea University of Technology and Education
Korea, Republic of (South)
South Korean university research laboratory focusing on haptics, exoskeletons, rehabilitation robotics, and autonomous ground vehicles.
Human Engineering Research Laboratories (HERL)
United States
VA–Univ. of Pittsburgh research center founded 1994, developing wheelchair robotics and assistive mobility tech for veterans and people with disabilities.
Robotics Education & Competition Foundation
United States
The REC Foundation is a US nonprofit that runs VEX-based robotics and drone competitions reaching 1.1 million students across 70 countries.
IT+Robotics (IT)
Italy
IT+Robotics develops 3D machine vision systems for industrial robotics including EyeT+ random bin-picking, adaptive machining path generation and automated 3D completeness inspection for production quality control.
Magellium (FR)
France
French software and data analytics company specializing in satellite image processing, remote sensing, and geospatial intelligence. Serves space, defense, and environmental monitoring sectors. Website unavailable at scrape time.
Ortelio Ltd
United Kingdom
Ortelio Ltd is a UK cloud robotics research company founded in 2011 that develops AI platforms giving robots intelligence for service and healthcare tasks.
Datanomix
United States
No-Operator-Input production monitoring software that turns CNC machine data into real-time visibility and prescriptive coaching for manufacturers.
Data Science Automation, Inc.
United States
Pittsburgh-area automation systems integrator since 1993; NI Select Partner; 3,000+ solutions across manufacturing, R&D, government, and test automation.
Anyscale
United States
Anyscale is a San Francisco AI infrastructure firm behind Ray, the open-source engine for large-scale model training; Nscale agreed to buy it for $1.65B.
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