Keita Nakamura

About

Keita Nakamura is a leading researcher in cloud robotics and agricultural automation, whose work bridges the gap between distributed robotic systems and practical field applications. His primary research areas include computation offloading for networked cloud robotics, multi-robot cooperation, and the development of autonomous weeding robots for sustainable agriculture. Nakamura’s most impactful contribution is his pioneering work on QoS-aware robotic streaming workflow allocation in cloud robotics systems (65 citations), which addresses critical challenges in heterogeneity and robotic cooperation for complex tasks like disaster management. He also co-authored a foundational study on robotic cooperation architectures in cloud robotics (63 citations), establishing key frameworks for the field. Beyond cloud systems, Nakamura has made notable strides in precision agriculture with the development of “Robo-ducky,” a rice field weeding robot inspired by natural duck farming, demonstrating practical weeding ability and minimal plant damage. His recent work extends to dual-arm robot teleoperation, 3D reconstruction efficiency, and deep learning-based analog meter reading for plant inspection. With over 175 total citations across his publications, Nakamura’s research continues to shape both the theoretical foundations and real-world deployment of intelligent robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   QoS-Aware Robotic Streaming Workflow Allocation in Cloud Robotics Systems

   65 citations · 2018
2. 2
   A Study of Robotic Cooperation in Cloud Robotics: Architecture and Challenges

   63 citations · 2018
3. 3
   Investigation of weeding ability and plant damage for rice field weeding robots

   11 citations · 2016
4. 4
   Dual-arm robot teleoperation support with the virtual world

   9 citations · 2020
5. 5
   Image Selection Method from Image Sequence to Improve Computational Efficiency of 3D Reconstruction: Analysis of Inter-image Displacement Based on Optical Flow for Evaluating 3D Reconstruction Performance

   9 citations · 2022
6. 6
   Robot sweep path planning with weak field constrains under large motion disturbance

   5 citations · 2018
7. 7
   Automatic analog meter reading for plant inspection using a deep neural network

   5 citations · 2020
8. 8
   Application possibility of OpenRTM-aist-based integrated robot systems using CORBA interfaces and brokered Pub/Sub messaging interfaces

   4 citations · 2017
9. 9
   An Efficient Cloud Framework for Multi-Robot System Management

   3 citations · 2021
10. 10
    Collision identification in weeding robot with acceleration standard deviation

    2 citations · 2016

Key Collaborators

Contact & Links