Colin Togashi

University of California, Los Angeles

Papers

2

Total Citations

8

H-Index

2

About

Colin Togashi is a rising force in robotics, specializing in multi-agent systems, modular robotics, and humanoid locomotion. His work bridges the gap between industrial logistics and agile, adaptive robot design. In his highly cited 2022 feasibility study, Togashi introduced LIMMS—a multi-agent modular robotic delivery system capable of both locomotion and manipulation. This work challenges the conventional reliance on specialized, task-dedicated robots by proposing a unified platform that can sort, transport, and deliver packages with greater flexibility and efficiency. With 5 citations, this paper has already influenced discussions on scalable, reconfigurable logistics. Togashi further demonstrated his technical leadership as a key contributor to the RoboCup 2024 Adult-Sized Humanoid Champions guide, co-authoring a comprehensive paper on hardware, vision, and strategy. This work, with 3 citations, captures the cutting-edge integration of perception and control that enabled championship-level performance. Togashi’s research is not only advancing modular robotics but also shaping the next generation of autonomous, humanoid systems—making him a researcher to watch in the evolving landscape of intelligent, multi-functional robots.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Feasibility Study of LIMMS, A Multi-Agent Modular Robotic Delivery System with Various Locomotion and Manipulation Modes
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: University of California, Los Angeles

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago