Emanda Jumantoro
Papers
1
Total Citations
3
H-Index
1
About
Emanda Jumantoro is a robotics researcher whose work focuses on the critical challenge of dynamic locomotion in quadruped robots, particularly the trade-off between speed and stability. Her most-cited paper, "Stability optimization on quadruped robot using trajectory algorithm" (2017), addresses the fundamental instability that plagues high-speed four-legged machines. By drawing inspiration from animal gait patterns—such as those of cheetahs and cats—Jumantoro developed trajectory-based algorithms designed to maintain balance even during rapid movement. This work is essential because instability degrades the performance of onboard visual sensors like cameras and thermal imagers, which are crucial for autonomous navigation and environmental perception. Though her citation count is modest, her research contributes to the foundational engineering needed for agile, sensor-rich robots capable of real-world deployment in search-and-rescue, surveillance, and exploration. Jumantoro’s focus on integrating locomotion control with sensor stability highlights a practical, systems-level approach to robotics—one that prioritizes robust, real-time performance over theoretical elegance.
Research Focus
Key Achievements
Top Papers
- 1Stability optimization on quadruped robot using trajectory algorithm3 citations · 2017