On-going research

Why intelligent robots require more than AI

Robots are touted as the solution to multiple manufacturing problems from increasing productivity to solving the labor shortage. However, the promise of autonomous machines currently lags the underlying technology. One of the key constraints with robotic automation is the risk of collisions. Robots need a way to work in harmony […]

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Realtime Robotics’ technology interfaces with Yaskawa Motoman

Realtime Robotics’ technology allows this Yaskawa Motoman GP7 to operate at full speed while autonomously avoiding unexpected obstacles that enter its workspace. Traditionally, a robot moving at these speeds would only be operated behind a cage in order to ensure safety. Realtime Robotics provides Motion Planning and Spatial Perception solutions […]

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Solving the Autonomous Vehicles Motion Planning Conundrum

Our last blog explained the importance of motion planning for the adoption of AV. In this post, we’ll discuss how Realtime Robotics is enabling normal autonomous driving in urban environments. Realtime Robotics has developed its own, special-purpose computer processor for AV motion planning to address the critical need for super-fast motion […]

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Autonomous Driving and the Need For Motion Planning

Our last blog outlined why autonomous vehicles are not a passing fad and are the future of transportation. However to realize their full potential motion planning is an essential component that will address a myriad of safety challenges. Before we dive into motion planning let’s look at autonomous driving in more […]

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Solving the Autonomous Vehicle Safety Challenges

The future of driving is automated.  The certainty of this future—despite well-publicized delays and technical challenges—derives from the numerous and substantial benefits of autonomous vehicles (AVs).  The potential safety benefits are extraordinary. At least 31% of road deaths happen in DUI crashes, and an additional 10% occur when the driver is either […]

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Realtime Robotics, Inc Awarded Competitive Grant from the National Science Foundation

Small Business Innovation Research Program Provides Seed Funding for R&D Boston, MA, July 3, 2018 – Realtime Robotics has been awarded a National Science Foundation (NSF) Small Business Innovation Research (SBIR) grant for$225,000 to conduct research and development (R&D) work onRisk-Aware Motion Planning for Autonomous Vehicles. This R&D work will […]

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Realtime receives confirmation of DARPA Phase II Selection

Realtime received notification today of being selected for DARPA’s Phase II for $1.5 million. Once negotiated, this award will enable Realtime to accelerate the development and integration of spatial perception hardware and software tools, and deepen the software tools for the combined spatial perception-motion planning product offering for market release […]

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Realtime starts autonomous vehicle feasibility studies funded by major multinationals

Realtime Robotics today kicked off significant new feasibility studies for application of its motion planning technology to support real-time quantitative risk assessment of various path choices in complex urban driving scenarios. The studies are expected to be completed in approximately six months, and are designed to allow performance comparisons with […]

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