Autoware Foundation
"Building open-source software for globally trusted autonomous driving systems"
Tokyo-based non-profit steward of Autoware, the world's leading open-source software stack for autonomous driving, founded 2018 by TIER IV, Linaro, and Apex.AI.
The Autoware Foundation (AWF) is a non-profit open-source organization headquartered in Shinagawa-ku, Tokyo, Japan, established in 2018 to steward the Autoware open-source software project for autonomous driving. The foundation was jointly initiated by TIER IV, Inc., Linaro 96Boards, and Apex.AI, Inc., following TIER IV's transfer of all intellectual property rights to the Autoware project to the newly formed non-profit entity.
Autoware traces its origins to 2015, when Dr. Shinpei Kato first developed the software as an open-source autonomous driving stack at Nagoya University in collaboration with Nagasaki University and the National Institute of Advanced Industrial Science and Technology (AIST). The software is built on Linux and the Robot Operating System (ROS), and provides a full software stack for autonomous vehicle operation including perception, localization, path planning, and vehicle control.
The Autoware Foundation coordinates development of Autoware.Universe (the current ROS 2-based release), manages the project's governance, and grows a global membership of automotive OEMs, Tier-1 suppliers, research institutes, and technology companies. Founding and early members include Arm, AutoCore, AutonomouStuff, eSol, Huawei/HiSilicon, Intel Labs, Kalray, LG Electronics, Nagoya University, Open Robotics, Parkopedia, RISC-V/SiFive, RoboSense, Velodyne Lidar, Xilinx, Toyota Research Institute Advanced Development (TRI-AD), and TomTom.
The foundation's primary output is the Autoware software stack, which is deployed in autonomous vehicle research, public road testing programs, shuttle services, and robotaxi pilots across Japan, the United States, Europe, and Asia. The codebase is publicly available on GitHub under the Apache 2.0 license.
As a non-profit, AWF does not manufacture hardware or sell software licenses. Its role is to govern the open-source project, set technical standards, organize working groups, host developer events, and facilitate interoperability between members' implementations.
Primary type & automation activities this supplier delivers:
Autoware
Contact Autoware Foundation
WEBSITE
https://autoware.orgHEADQUARTERS
Japan
Company Facts
Founded
2018
Primary Role
Research Institute
Company Size
-
Primary Region
Asia-Pacific
Annual Sales
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Funding Stage
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Funding Total
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Challenges in Humanoid Robotics: Balancing AI and Hardware Limitations
Andreas Friedrich, Managing Director of Technology & Strategy at Allegro MicroSystems, will present at RoboBusiness on October 20-21 in Santa Clara, focusing on advancements in robotic actuation technology. As humanoid robots evolve, accommodating the necessary hardware for movement becomes increasingly complex due to stringent size and weight constraints. The integration of artificial intelligence has enhanced humanoid robots' ability to perceive their environment and make decisions. However, translating these decisions into smooth and safe physical actions poses significant engineering challenges, especially as these robots transition from prototypes to operational machines that work alongside humans. The ongoing development of AI is crucial, but the physical limitations of humanoid robots will ultimately dictate how effectively this intelligence can be utilized. The shift towards higher voltage power architectures in humanoids illustrates the intricate relationship between electrical and mechanical design, highlighting the need for innovative solutions to overcome these challenges.
Artificial Intelligence / Cognition Design / Development Humanoids News
Productive Robotics Launches Tregaskiss Tough Gun I.C.E. Torch for Blaze Welding Systems
Productive Robotics has unveiled the Tregaskiss Tough Gun I.C.E. (Integrated Cooling Enhancer) torch, designed specifically for its 7-axis Blaze robotic welding systems. This new option aims to mitigate heat-related consumable failures that can occur during automated welding processes with high duty cycles. The introduction of the I.C.E. torch is significant as it addresses a common challenge in robotic welding—overheating of consumables. By enhancing cooling capabilities, Productive Robotics aims to improve the reliability and efficiency of its Blaze systems, which are increasingly utilized in demanding industrial applications. Looking ahead, the adoption of the Tregaskiss Tough Gun I.C.E. torch could lead to broader implementation of Productive Robotics' solutions in sectors requiring robust welding capabilities. No further timeline was disclosed at the time of publication.
China Achieves First AI-Guided Surgery for Congenital Heart Disease Using Intelligent Robotics
Recently, a medical team in China completed the world's first AI ultrasound robot-assisted interventional procedure for congenital heart disease. Conducted by the Cardiovascular Medicine Department of the Sixth Medical Center of the PLA General Hospital, this surgery marks a significant milestone in the clinical application of intelligent technology in healthcare. This breakthrough is crucial as it signifies the integration of artificial intelligence into one of the most critical aspects of surgical procedures: interpreting images, assessing positions, and aiding doctors in formulating operational plans. Traditionally, cardiovascular interventions heavily relied on physician experience, particularly in complex cases where accurate understanding of heart structure changes is essential. Looking ahead, the focus may shift from merely achieving higher precision with robotic arms to whether robots can comprehend medical images, analyze patient conditions, and adapt strategies in real-time. The integration of AI models, medical imaging, and robotic control systems will be vital for advancing surgical capabilities, especially in areas lacking experienced specialists.
AI in Healthcare Surgical Robotics Medical Imaging Cardiovascular Surgery
Challenges in Implementing Predictive Maintenance for Robot Fleets
Many predictive maintenance initiatives in robotics face a common hurdle: after installing sensors and training models, progress often halts. The anomaly score generated by these systems does not equate to actionable decisions, leading to a gap in the maintenance process. Without a technician assigned, confirmation of spare parts availability, and scheduling for repairs, the potential benefits of predictive maintenance remain unrealized. This issue is significant as it highlights the limitations of current predictive maintenance strategies in robotics. The inability to transition from data insights to actionable work orders can lead to increased downtime and inefficiencies in robot fleet management. Organizations investing in predictive maintenance technologies must address these operational challenges to fully leverage their investments and enhance productivity. Looking ahead, it will be crucial for companies to develop streamlined processes that connect predictive maintenance insights with practical maintenance actions. No further timeline was disclosed at the time of publication, but advancements in this area could lead to more effective management of robotic systems and improved operational efficiency.
Artificial Intelligence Computing Factories Internet asset management condition monitoring
Pressure Sensors Enhance Robotic Gripping Accuracy and Interaction Control
The integration of pressure sensors into robotic grippers, such as the UMI gripper from XELA Robotics, significantly improves gripping accuracy. Unlike traditional methods that rely solely on motor current and position, pressure sensors provide critical real-time data on contact interactions, enabling better control during gripping tasks. This advancement is particularly crucial in industrial applications like bin picking and mixed-part handling, where the nature of contact can vary widely. By measuring distributed mechanical stress at the contact interface, pressure sensors allow for a nuanced understanding of how different materials respond to gripping forces, thus enhancing the reliability of robotic operations. Looking ahead, the continued development of pressure sensing technology in robotic systems will likely lead to more sophisticated interaction controls. No further timeline was disclosed at the time of publication.
End Effectors / Grippers Grippers Human Robot Interaction / Haptics News Sensors / Sensing Systems
AI Framework PACMAN Enables Rapid Control of Fusion Plasma at Princeton Lab
Researchers at the U.S. Department of Energy's Princeton Plasma Physics Laboratory and Princeton University have developed PACMAN, an AI software framework that controls fusion plasma faster than human operators can react. This innovation is crucial as fusion systems can experience instabilities in mere milliseconds, making human intervention impractical. The PACMAN framework allows for real-time decision-making while ensuring safety protocols are upheld, with human operators setting the system's objectives. This capability is vital for maintaining the stability of fusion reactions, which rely on precise adjustments to heating equipment and magnetic fields to keep plasma conditions optimal. The initial tests of PACMAN were conducted in five experiments, demonstrating its effectiveness in managing fusion plasma. As researchers continue to explore practical fusion energy solutions, the integration of multiple AI models within PACMAN represents a significant advancement in the field. No further timeline was disclosed at the time of publication.
Exploring the Role of FPGAs in Enhancing Physical AI Security
In Episode 260 of The Robot Report Podcast, Eric Sivertson, vice president of security at Lattice Semiconductor, discusses the significance of FPGAs in physical AI security. He highlights how these field-programmable gate arrays are crucial for building safe and secure robots, emphasizing their role in enhancing trust in embedded systems. The conversation underscores the growing importance of security in robotics, particularly as the industry shifts towards more advanced AI applications. Sivertson's extensive experience in developing technologies for security and connectivity positions him to provide valuable insights into the challenges and opportunities within this sector. Listeners should pay attention to the evolving landscape of physical AI security and the potential for FPGAs to serve as foundational elements in safeguarding robotic systems. No further timeline was disclosed at the time of publication.
Artificial Intelligence Autonomous Mobile Robots (AMRs) Humanoids Manufacturing Markets / Industries Microprocessors / SoC
iRobot Introduces the Roomba Duo, a Dual Robot Vacuum Concept
iRobot unveiled the Roomba Duo at the IFA tech show in Berlin, showcasing a concept that integrates a heavy-duty floor-washing machine with a smaller Roomba vacuum. The Duo features a mechanical arm that lowers the smaller unit for cleaning tight spaces, while the main unit handles larger areas with advanced navigation capabilities. This innovation is significant as it combines multiple cleaning functionalities into one device, potentially simplifying home cleaning for consumers. iRobot's Adam Pope emphasized that the main vacuum is the most powerful the company has produced, comparable to traditional upright vacuums, and can effectively handle solid messes while also steaming floors. As a concept product, the Roomba Duo lacks a price and release date, with ongoing development based on user feedback. Observers should watch for updates on its specifications and market readiness, as the device aims to redefine floor care in homes, despite concerns about its long-term durability.
IFA 2026 News Robot Smart Home Tech
Can Improved Hydraulic Systems Propel Humanoid Robots Towards Greater Versatility?
The humanoid robot industry faces a paradox: the pursuit of versatility necessitates specialized power solutions. Tesla's Optimus, Figure AI's tests at BMW, and Agility Robotics' Digit at Amazon showcase advancements but reveal structural weaknesses in execution. Issues like insufficient power, range anxiety, and adaptability to extreme environments remain unresolved. Experts, including Zhang Jianwei and Wang Jian, emphasize that the fundamental challenges lie in the physical properties of materials used in motors, which are limited by cost and efficiency. They argue that hydraulic systems, often deemed 'non-scientific' due to their complexity, could redefine actuator capabilities if the basic problems are solved. The economic paradox of traditional robotic actuators is highlighted by the high integration costs associated with systems like Boston Dynamics' Atlas. As the humanoid robot sector evolves, it inherits the complexities of traditional hydraulic systems, which require numerous sensors and intricate control networks. The real question is not whether hydraulics can provide power, but whether that power can be easily harnessed by robots. ClearZhu Power aims to address this challenge with its digital hydraulic technology.
Hydraulic Systems Humanoid Robots Robotics Technology Automation
Renesas Electronics Joins Autoware Foundation to Enhance Autonomous Driving on R-Car Chips
Renesas Electronics has joined the Autoware Foundation to integrate the open-source autonomous driving stack of Autoware onto its R-Car system-on-chips. Announced on September 1, this integration aims to provide pre-configured solutions ranging from Level 2 driver assistance to Level 4 robotaxis. This partnership combines Autoware's automated driving software with Renesas' R-Car automotive processors and RoX software platform. Manufacturers and suppliers can adapt models, train them on their own data, and deploy the stack on hardware architectures already intended for production vehicles. Autoware outlines a progressive trajectory for its technology, which is crucial for industries as it can reduce the number of architectures to maintain between prototypes and products. The next steps include the release of reference configurations, test results, and automotive partners. While the integration aims to simplify the integration complexity and provide an alternative to fully proprietary solutions, no specific vehicle models, production timelines, or committed robotaxi fleets were disclosed at the time of publication.
Robots
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FUTURE WARFARE | Cross-Domain Integration - Integration How Land, Sea, Air and Software Are Converging Into a Single Kill Chain
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GLOBAL ROBOTICS INDUSTRY Comprehensive Sector Overview
A comprehensive global robotics industry overview for 2025, analyzing 14 key market segments — from industrial and humanoid robots to logistics AMRs, military systems, and service robots — with expert market sizing, US case studies, five-year forecasts, and bilingual English-Chinese analysis for executives and investors.
FUTURE WARFARE | Land - Unmanned Ground Vehicles — From Logistics Mules to Front-Line Robots
Ukraine fielded 15,000 unmanned ground vehicles in 2025 — surpassing its own procurement targets by over 100 percent. A single UGV held a front-line position for 45 days. Up to 90 percent of supplies to Pokrovsk now move by robot, not truck. The U.S. Army cancelled its $3 million Robotic Combat Vehicle and is starting over. China is deploying $3,000 robot dogs in PLA urban-warfare exercises. This article maps the emerging UGV battlefield — from Ukraine’s garage-built logistics fleet to the Pentagon’s stalled combat-vehicle ambitions, and from Ghost Robotics’ Vision 60 to the quadruped proliferation problem no treaty has yet addressed.
EU Bets €1.5B on Drones and AI: Inside EDIP's 2026–2027 Defence Industry Programme
The EU's €1.47 billion European Defence Industry Programme (EDIP) 2026–2027 targets drones, counter-UxS systems, AI-enabled autonomy, and loitering munitions across six major funding calls — allocating over €232 million directly to unmanned systems and related electronics supply chains.
FUTURE WARFARE | The Autonomy Spectrum
How modern weapons shattered the concept of human control — from kill-switch confirmation to AI systems that select targets independently.
EKA Mobility Secures $57 Million from NIIF’s India-Japan Fund to Drive Leadership in Electric Commercial Vehicles
EKA Mobility raises $57 M from the India-Japan Fund (NIIF) to accelerate electric commercial vehicle growth and electrification leadership in key markets.
