Mizuho Katayama

Papers

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About

Mizuho Katayama is a robotics researcher focused on advancing autonomous manipulation through formal task planning and hierarchical abstraction. Her primary contributions lie in developing methods that bridge high-level task specifications with low-level robot control, particularly for dual-arm systems. Her most influential work, "Fast LTL-Based Flexible Planning for Dual-Arm Manipulation" (2020, 19 citations), introduces a Linear Temporal Logic (LTL) framework that automatically generates object handling actions from simple action definitions. This approach addresses the critical industrial need for robots that can replace human workers in complex environments without requiring exhaustive manual programming. Katayama also explores task decomposition in "Generating New Lower Abstract Task Operator using Grid-TLI" (2020, 2 citations), proposing a method to subdivide robot tasks into more efficient, lower-level abstractions. This work enhances motion planning flexibility and facilitates robot teaching across diverse settings. By enabling robots to reason about tasks at multiple levels of abstraction, Katayama’s research contributes to more adaptable and intelligent manufacturing systems. Her work is particularly relevant for researchers in task planning, human-robot collaboration, and industrial automation, offering practical pathways toward more autonomous and versatile robotic systems.