Masami Konishi
Papers
15
Total Citations
178
H-Index
6
About
Masami Konishi is a robotics and automation researcher whose work has made significant contributions to the fields of multi-robot systems, autonomous navigation, and intelligent transportation planning. His research has primarily focused on developing efficient route planning and scheduling algorithms for Automated Guided Vehicles (AGVs) in complex industrial environments, particularly semiconductor fabrication facilities where precision and coordination are critical. Konishi's most influential contribution is his development of distributed route-planning methods using Lagrangian decomposition and augmented Lagrangian coordination techniques, enabling multiple robots to minimize total transportation time while avoiding collisions and deadlocks. His most-cited paper on this topic (2005, 58 citations) demonstrated how decentralized computational approaches could solve real-world industrial logistics challenges. Complementing this work, he explored dynamic rescheduling, asynchronous distributed routing, and evolutionary algorithms including Ant System-inspired methods for multi-robot coordination. Beyond multi-robot planning, Konishi contributed to robot motion control, including neural network-based trajectory generation and Internal Model Control for SCARA robotic arms. His body of work, accumulating over 160 citations across a decade of research, reflects a consistent commitment to bridging theoretical optimization with practical industrial robotics applications, making his contributions valuable to engineers and researchers advancing autonomous manufacturing systems.
Research Focus
Key Achievements
Top Papers
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- 4An Autonomous Distributed Route Planning Method for Multiple Mobile Robots14 citations · 2003
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- 6Position Control of 2-Link SCARA Robot by using InternalModel Control7 citations · 2009
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- 10Evolutionary routing method for multi mobile robots in transportation5 citations · 2003