Cheng-Hao Kao

Papers

Total Citations

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About

Cheng-Hao Kao is a rising researcher in multi-robot systems, with a focus on the intersection of motion planning and control for complex collaborative tasks. His most notable contribution is the development of **MR.CAP** (Multi-Robot Joint Control and Planning for Object Transport), a framework that unifies path planning and control algorithms to enable teams of robots to robustly and efficiently transport objects. This work addresses a critical bottleneck in the field—the need for faster, generalizable planners that can handle the tight coupling between a robot's motion and its control inputs during physical interaction. While his research is still in its early stages, MR.CAP has already garnered **8 citations** since its 2024 publication, signaling strong interest from the robotics community. Kao's work is particularly relevant to the growing demand for multi-robot systems in industrial automation and logistics, where coordinated object transport is a key challenge. As the field moves toward more autonomous and adaptive robot teams, his integrated approach to control and planning promises to be a foundational building block for future real-world deployments.