Today’s robot workspaces are designed to detect worker entrances—perhaps with a fence or a sensor—and which instructs all of the robots to idle. Why? Because today’s robots don’t perceive and react quickly enough at typical speeds to operate safely within close proximity to people. Having a fence or sensor that […]
Read More
Despite the surge in funding and news that autonomous vehicles (AVs) are attracting widespread adoption is still far from becoming a reality. To date, there has been a lot of success driving in relatively friendly conditions like highways in California. However, before AVs can be let loose in complex urban […]
Read More
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 […]
Read More
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 […]
Read More
As the age of automation continues to gather steam, car manufacturers are racing to achieve the ultimate goal: full autonomy of vehicles. However, before this becomes a reality, there are many hurdles to navigate. As an earlier post outlined, rapid motion planning (RMP) is an essential component for autonomous vehicles […]
Read More
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 […]
Read More
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 […]
Read More
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 […]
Read More
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 […]
Read More
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 […]
Read More