Realtime robotics seriessawersventurebeat

Realtime robotics seriessawersventurebeat

Realtime robotics seriessawersventurebeat, a Boston-based startup, has raised $31.4 million in a Series A funding round to accelerate the development of its autonomous motion planning technology. The funding was led by Sparx Asset Management, with participation from Mitsubishi Electric, Hyundai Motor Company, and Omron Ventures. Realtime Robotics aims to revolutionize the way robots move in dynamic environments, such as factories and warehouses, by enabling them to plan and execute their movements in real-time.

The company’s technology allows robots to instantly adapt to changes in their surroundings, such as the movement of people or objects, without the need for pre-programming or human intervention. The company’s flagship product, Realtime Controller, is a hardware and software solution that can integrated into any robot system. It uses advanced algorithms and sensors to generate collision-free motion plans in real-time, allowing robots to operate safely and efficiently in complex environments.

According to Realtime Robotics CEO Peter Howard, the funding will used to expand the company’s product offerings and accelerate its growth in key markets. “We are excited to have the support of our investors as we continue to develop innovative solutions that enable robots to work more effectively alongside humans,” he said. Realtime Robotics has already gained traction in the automotive industry, where its technology is being used to improve the efficiency of manufacturing processes. The company has also partnered with several robotics companies to integrate its technology into their products.


In conclusion, Realtime Robotics’ Series A funding round is a significant milestone for the company and underscores the growing demand for autonomous motion planning technology. With its innovative solutions and strong partnerships, Realtime Robotics also well-positioned to lead the way in this emerging field and transform the way robots move in dynamic environments.

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