Donghyuk Kim

Papers

Total Citations

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About

Donghyuk Kim is a roboticist whose research focuses on mobile manipulation planning, a critical area in autonomous robotics that integrates base mobility with articulated manipulators. His most cited work, "Harmonious Sampling for Mobile Manipulation Planning" (2019, 7 citations), addresses a fundamental trade-off in this field: the speed of decoupled planning versus the optimality of coupled approaches. Kim’s key contribution lies in developing a harmonious sampling method that bridges these two paradigms, enabling more efficient and higher-quality motion plans for robots that must coordinate both their base and arm simultaneously. This work is particularly impactful for applications in service robotics, warehouse automation, and assistive technologies, where robots must navigate complex environments while performing precise manipulation tasks. Though his citation count is modest, Kim’s research represents an important step toward more capable and adaptable mobile manipulators. His approach to harmonizing traditionally separate planning components offers a practical solution that balances computational efficiency with path quality, making his work valuable for both academic researchers and industry practitioners seeking to improve real-world robot autonomy.