首页|Reports Summarize Robotics Study Results from University of Rey Juan Carlos (Vision-based Robotics Using Open Fpgas)
Reports Summarize Robotics Study Results from University of Rey Juan Carlos (Vision-based Robotics Using Open Fpgas)
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NETL
NSTL
Elsevier
Data detailed on Robotics have been presented. According to news reporting from Madrid, Spain, by NewsRx journalists, research stated, "Robotics increasingly provides practical applications for society, such as manufacturing, autonomous driving, robot vacuum cleaners, robots in logistics, drones for inspection, etc. Typical requirements in this field are fast response time, low power consumption, parallelism, and flexibility." Funders for this research include Community of Madrid in the framework of the research project, Spain, Programa de Actividades de I+D entre Grupos de investigacion de la Comunidad de Madrid en Tecnologias 2018 project, Spain. The news correspondents obtained a quote from the research from the University of Rey Juan Carlos, "According to these features, FPGAs are a suitable computing substrate for robots. A few vendors have dominated the FPGA market with their proprietary tools and hardware devices, resulting in fragmented ecosystems with few standards and little interoperation. New and complete open toolchains for FPGAs are emerging from the open-source community. This article presents an open-source library of Verilog modules useful for vision-based robots, including reusable image processing blocks for perception and reactive control blocks. This library has been developed using open tools, but its Verilog modules are fully compatible with any proprietary toolchain. In addition, three applications with a real robot and open FPGAs have been developed for experimental validation using this library. In the last application, the mobile robot successfully follows a colored object using two low-cost cameras (to increase the robot's field of view) and includes a third camera on top of a servo-driven turret for tracking a second independent object while following the first one in parallel."
MadridSpainEuropeEmerging TechnologiesMachine Learn- ingNano-robotRobotRoboticsUniversity of Rey Juan Carlos
NETL
NSTL
Elsevier
