T. Ueyama

About

T. Ueyama is a pioneering robotics researcher whose career has been defined by foundational contributions to decentralized and cellular robotic systems. Best known for developing the Cellular Robotic System (CEBOT), Ueyama has dedicated his research to understanding how large networks of simple autonomous robotic units can collectively exhibit intelligent, coordinated behavior — drawing inspiration from biological systems such as bacteria. His seminal 1994 work, "Cellular Robotics and Micro Robotic Systems," garnered 100 citations and established the conceptual and architectural framework for decentralized robotics that would influence the field for decades. Ueyama's subsequent research explored critical challenges within this paradigm, including self-organization through random walk algorithms, hierarchical control architectures, genetic algorithm-based structure configuration, and efficient inter-robot communication strategies — each contributing meaningfully to the multi-robot systems literature. His 2004 work on smooth path planning for car-like robots further demonstrated his breadth, addressing practical motion planning constraints with real-world applicability. With over 330 cumulative citations across his most prominent works, Ueyama's research has had lasting influence on swarm robotics, autonomous distributed systems, and robotic assembly. His work remains essential reading for students and researchers investigating collective robotic intelligence and bio-inspired autonomous systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Cellular Robotics and Micro Robotic Systems

   100 citations · 1994
2. 2
   Self-organization of cellular robots using random walk with simple rules

   39 citations · 2002
3. 3
   Hierarchical control architecture for Cellular Robotic System-simulations and experiments

   39 citations · 2002
4. 4
   Smooth path planning by using visibility graph-like method

   32 citations · 2004
5. 5
   Structure Configuration Using Genetic Algorithm For Cellular Robotic System

   28 citations · 2005
6. 6
   Control strategy for a network of cellular robots-determination of a master cell for cellular robotic network based on a potential energy

   24 citations · 2002
7. 7
   Optimization of group behavior on cellular robotic system in dynamic environment

   19 citations · 2002
8. 8
   Configuration of communication structure for distributed intelligent robotic system

   19 citations · 2003
9. 9
   Direct teaching and error recovery method for assembly task based on a transition process of a constraint condition

   16 citations · 2002
10. 10
    Efficient communication method in the cellular robotic system

    15 citations · 2002

Key Collaborators

Contact & Links