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Valiant TMS 7-Robot Automotive Framing Application

Watch how the RapidPlan is managing the motions of all the robots in this framing application ensuring collision-free operation. Customers like Valiant TMS, enjoy the benefits of our partnership with Siemens Digital Industries Software. It is all about reducing the engineering time and costs for simulating and deploying robotic cells, while significantly increasing flexibility. We helped Valiant TMS reduce the programming time to 15 hours instead of the usual 90.

“The combination of Process Simulate with Realtime Robotics’ automated motion planning and interlocking has provided a significant improvement to our efficiency, reducing our offline programming efforts by more than 80%,” says Michael Schaubmayr, Group Manager Mechanical Engineering Simulation, TMS Turnkey Manufacturing Solutions GmbH. “This presents to us a tangible and strategic advantage in the industry.”

*The video is sped up 50% for viewing purposes.

Realtime Robotics in the news: QB Insights

Toyota AI Ventures’ Adler: The Next Step In Autonomous Vehicles Is Moving From Perception To Prediction

The head of Toyota’s new venture fund talks the arrival of self-driving cars, but says they must first overcome a host of technical challenges and public perception issues.

Toyota is racing to stay competitive in autonomous driving, artificial intelligence, and robotics research, budgeting $1B for its Toyota Research Institute (TRI) and allocating $100M for its newly minted AI Ventures CVC under TRI.

At the CB Insights A-ha! Conference, Jim Adler spoke to Lizza Dwoskin of the Washington Post about the storied automaker’s goal to “become high tech faster than high tech can become automotive.”

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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 and without the Realtime processor in a handful of seriously challenging real-world urban driving examples.

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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 in mid-2019.

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Meet Realtime Robotics’ CEO and Chief Roboticist

Recently Realtime Robotics’ CEO, Peter Howard, and Chief Roboticist, George Konidaris, sat down with Toyota AI Ventures for a more in-depth introduction to who we are, what we do, and where we are headed.

Access the full Q&A.

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Realtime lands its first commercial contract for proof of concept

Realtime announced its first commercial contract with an undisclosed multinational customer to apply its real-time motion planning processors in a high volume, unstructured pick and place work-cell. The contract is worth up to $15 million rolled out across a three-year horizon.

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Realtime receives confirmation of DARPA SBIR selection

Realtime received notification today of DARPA’s selection of Realtime’s proposal titled:

Accelerated Low-power Motion Planning for Real-time Interactive Autonomy

Abstract:

The inability to plan in real-time is a major reason why robot manufacturing is restricted to high-value, high-volume products, in carefully engineered factories where robots blindly repeat pre-programmed trajectories. Today, robots simply cannot generate collision-free motion on the fly. We are solving this core problemreal-time motion planning in unstructured, fluid environments and on diverse Size, Weight, and Power (SWaP)-constrained robot platformsby co-designing custom motion planning hardware with novel planning algorithms. Just like the GPUs that revolutionized graphics, our motion planning processors will exploit the phenomenal speed and massive parallelism available to dedicated circuitry to make thousands of plans per second. Real-time motion planning is only possible with the combination of specialized hardware and novel algorithms, and we are the first to develop it. Our processors will generate thousands of plans per second, which is faster than perception and enables the robot to create multiple viable motion plans and choose the one that is most convenient (e.g., for grasping) or least likely to collide with dynamic obstacles with uncertain trajectories. Learn More.

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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 on Risk-Aware Motion Planning for Autonomous Vehicles.

This R&D work will change the way that autonomous vehicles plan their motions, particularly in challenging urban driving scenarios.  Realtime Robotics is working on a special-purpose computer processor that can plan thousands of times faster than existing solutions, and this speed will enable it to make many plans at a time, each of which considers a different possible set of behaviors from the other agents—cars, bicycles, pedestrians—in the environment.  This technology will enable risk-aware, normal speed driving, which is critical for widespread adoption by the general public.

“The National Science Foundation supports small businesses with the most innovative, cutting-edge ideas that have the potential to become great commercial successes and make huge societal impacts… We hope that this seed funding will spark solutions to some of the most important challenges of our time across all areas of science and technology.”

— Barry Johnson, Director of the NSF’s Division of Industrial Innovation and Partnerships

As explained by Peter Howard, CEO of Boston-based Realtime Robotics, “The new technology is a game-changer for autonomous vehicles, which currently look impressive on the freeway, but drive slowly and haltingly in urban environments.  Our technology will make autonomous cars drive like humans—in that they drive at normal speeds and plan for unpredictable behaviors—just much better.  Computer processors don’t get distracted by their phones or drowsy after long hours of driving.”

Once a small business is awarded a Phase I SBIR/STTR grant (up to $225,000), it becomes eligible to apply for a Phase II grant (up to $750,000). Small businesses with Phase II grants are eligible to receive up to $500,000 in additional matching funds with qualifying third-party investment or sales.

NSF accepts Phase I proposals from small businesses twice annually in June and December. Small businesses with innovative science and technology solutions, and commercial potential are encouraged to apply. All proposals submitted to the NSF SBIR/STTR program undergo a rigorous merit-based review process.

To learn more about America’s Seed Fund powered by NSF, visit: https://seedfund.nsf.gov/

About the National Science Foundation’s Small Business Programs

America’s Seed Fund powered by NSF awards $200 million annually to startups and small businesses, transforming scientific discovery into products and services with commercial and societal impact. Startups working across almost all areas of science and technology can receive up to $1.5 million in non-dilutive funds to support research and development (R&D), helping de-risk technology for commercial success. America’s Seed Fund is congressionally mandated through the Small Business Innovation Research (SBIR) program. The NSF is an independent federal agency with a budget of about $7.8 billion that supports fundamental research and education across all fields of science and engineering.

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