Acceleration Robotics is a firm focused on designing customized hardware, or “brains”, that speed up a robot's operation. In particular, the company creates custom compute architectures for high performance robots through hardware acceleration solutions (CPU, FPGAs, GPUs and combinations).
Acceleration Robotics, who leads the ROS 2 Hardware Acceleration community efforts is working with Microchip to speed-up robot computations using hardware acceleration on Microchip’s PolarFire® SoC solutions.
Read press releaseThe company offers semiconductor building blocks for robots and consulting services specialized in the Robot Operating System (ROS). Will grow its business in the semiconductors and autonomous mobility fields through hardware acceleration.
Read press releaseROBOTCORE® is a processing unit for the robotics architect that maps robotics computations efficiently to its CPUs, GPU and FPGA to obtain faster robots and with additional real-time capabilities.
Read press releaseAcceleration Robotics, who leads the ROS 2 Hardware Acceleration community efforts, will collaborate with AMD to develop new robotic capabilities with its Adaptive SoCs and SOMs.
Read press releaseRPUs are robot brains, processing units for robots that map efficiently robot behaviors (programmed as ROS computational graphs) to underlying compute resources. They empower robots with the ability to react faster, consume less power, and deliver additional real-time capabilities.
ROS 2 API-compatible hardware acceleration tools and robot Intellectual Property (IP) cores (IP cores). Increase your robot's performance, including latency, throughput and power efficiency.
ROBOTCORE® empowers you with capabilities to build custom compute architectures for robots, or "IP cores". It deals with vendor proprietary libraries, accelerating computations, increasing performance and abstracting away the complexity of bringing your Robot Operating System (ROS) computational graphs to your favourite silicon architecture.
A ROS hardware acceleration framework that provides its customers with a development, build and deployment experience for hardware and hardware accelerators similar to the standard, non-accelerated ROS development flow.
ROBOTCORE® Perception is an optimized robotic perception stack that leverages hardware acceleration to provide a speedup in your perception computations.
API-compatible with the ROS 2 perception stack, ROBOTCORE® Perception delivers high performance, real-time and reliability to your robots' perception.
ROBOTCORE® Transform is an optimized robotics transform library that manages efficiently the transformations between coordinate systems in a robot.
API-compatible with the ROS 2 transform (tf2) library, ROBOTCORE® Transform delivers higher throughput and lower latency while aligning with the standard way to keep track of coordinate frames and transform data within a ROS robotic system.
ROBOTCORE® Cloud allows roboticists to launch parts of their ROS 2 computational graphs into the cloud while addressing interoperability and scalability issues. It supports the most popular cloud providers including Azure, GCP and AWS.
Technically, it extends ROS 2 to a) provision cloud machines from either the ROS 2 CLI or the ROS 2 launch system, b) set up a secure private network and address interoperability issues and c) deploy the graphs as specified in the ROS 2 launch system extensions. Best of all, it aligns with ROBOTCORE® , empowering developers with a unique flow to deploy their accelerators into cloud instances in a compute substrate-agnostic manner (across CPUs, GPUs and FPGAs).
Hardware acceleration will revolutionize robotics, enabling faster robots. However, the diversity of acceleration options makes it difficult for roboticists to easily deploy accelerated systems without expertise in each specific hardware platform.
Our robot hardware acceleration services will help you bring up the full potential of your robots by consulting or designing hardware for you.
Improving robot computational graphs to run faster, consuming less power and in real-time.
Let's talk