Seoul Robotics, the company powering the future of autonomy through smart infrastructure, today announced approximately $25M Series B funding, led by KB Investment.
Clevon, the autonomous delivery vehicle innovator, today announced the global expansion of the Company's operations to North America with the opening of its Center of Excellence and U.S. headquarters in the Dallas-Fort Worth Metroplex at the AllianceTexas Mobility Innovation Zone (MIZ).
An exciting collaboration between two robotics companies is showing the potential of the technology to shape how hazardous materials are handled safely in the future.
Eastman has entered into an agreement with Citrine Informatics to utilize the Citrine Platform for Materials Informatics and artificial intelligence (AI)-guided product development.
Today, Joloda Conveyor Services, a nationwide provider of conveyor services and maintenance, announces its strategic alliance with Lodamaster, a global provider of conveyor systems– becoming the first and only distributor of Lodamaster in the United Kingdom.
Our MoorMaster™ automated mooring systems have completed more than one million moorings at bulk, ferry, Ro/Ro, container handling and lock applications all over the world, making ports safer, more efficient and more sustainable.
UP Bridge the Gap has partnered with Intel to release two new generations of robotic development kits to simplify robotics evaluation and development. UP Bridge the Gap is a brand belonging to AAEON, a leading manufacturer of AI Edge hardware solutions.
Conduent Transportation, a global provider of smart mobility technology solutions and a business unit of Conduent Incorporated CNDT, and Hayden AI, a global leader in artificial intelligence and machine learning technologies, today announced a partnership to develop and deliver an automated technology solution designed to improve safety for children who ride on school buses.
RoboSense, a world-leading provider of Smart LiDAR Sensor Systems today announced that it will provide LiDAR for Great Wall Motor WEY Mocha DHT-PHEV LiDAR Edition.
If self-driving cars are to be widely adopted, we need to know that they can navigate difficult traffic scenarios such as joining heavy traffic when lanes merge on a highway. To tackle this, North Carolina State University researchers devised a method that enables autonomous car software to perform the necessary calculations more rapidly, boosting both traffic and security in simulated autonomous vehicle systems.