Kota Takata

Papers

Total Citations

H-Index

About

Kota Takata is a robotics researcher specializing in dual-arm manipulation, task and motion planning, and human-robot collaboration, with a particular focus on translating natural language instructions into executable robot actions. His major contribution lies in developing graph-based frameworks that enable dual-arm robots to interpret ambiguous cooking recipes and visual information from images, bridging the gap between high-level language commands and low-level motion planning. His most-cited work, "Efficient Task/Motion Planning for a Dual-arm Robot from Language Instructions and Cooking Images" (2022, 15 citations), introduces a novel approach that constructs a graph representation to resolve ambiguities and supply missing information, significantly improving planning efficiency. This work was presented at IROS 2022, a top-tier robotics conference. His subsequent papers extend this framework to bimanual manipulation planning from cooking recipes, demonstrating practical applications in automated cooking. With a total of 21 citations across his key publications, Takata's research is gaining traction in the robotics community for its innovative integration of language processing, computer vision, and motion planning. His work has important implications for assistive robotics and household automation, where robots must understand and execute complex, context-dependent tasks from natural instructions.