Takashi Yokota
Papers
8
Total Citations
136
H-Index
6
About
Takashi Yokota is a pioneering researcher at the intersection of robotics and reconfigurable computing, whose work has fundamentally advanced the integration of Field Programmable Gate Arrays (FPGAs) into autonomous robotic systems. His primary research areas include FPGA-based hardware acceleration for robotics, low-power embedded systems, and automated design tools for robotic platforms. Yokota's most significant contribution is the development of ROS-compliant FPGA components, which enable robots to leverage the high energy efficiency and parallel processing capabilities of FPGAs while maintaining compatibility with the widely-used Robot Operating System (ROS). His work on the cReComp automated design tool (27 citations) and the acceleration of publish/subscribe messaging in ROS-compliant FPGA components (31 citations) has addressed the critical challenge of high development costs in FPGA-based robotics. With over 136 total citations across his most-cited papers, Yokota's research has demonstrated that FPGAs can achieve superior performance-per-watt compared to traditional microprocessors for computationally intensive tasks like SLAM and deep neural networks. His notable achievements include proposing novel methods for architecture exploration in intelligent robot systems and developing automatic generation tools for FPGA components, making him a key figure in the push toward power-efficient, high-performance autonomous robots.
Research Focus
Key Achievements
Top Papers
- 1Acceleration of Publish/Subscribe Messaging in ROS-compliant FPGA Component31 citations · 2017
- 2cReComp: Automated Design Tool for ROS-Compliant FPGA Component27 citations · 2016
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- 4FPGA Components for Integrating FPGAs into Robot Systems19 citations · 2018
- 5Proposal of ROS-compliant FPGA Component for Low-Power Robotic Systems14 citations · 2015
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- 8Automatic Generation Tool of FPGA Components for Robots5 citations · 2019