Dimas Pristovani Riananda
Papers
1
Total Citations
2
H-Index
1
About
Dimas Pristovani Riananda is a robotics researcher whose work centers on advancing humanoid robot locomotion, particularly for competitive environments like the RoboCup. His primary research area involves trajectory optimization for bipedal walking on challenging surfaces, with a specific focus on synthetic grass—a surface mandated by recent RoboCup regulations. His most cited paper, "Walking Trajectory Optimization Algorithm For Robot Humanoid on Synthetic Grass" (2018), addresses the critical challenge of stabilizing humanoid robots on this uneven, high-friction terrain. By developing algorithms that adjust gait patterns in real time, Riananda’s work directly contributes to improving robot agility and balance in dynamic settings. While his citation count (2) reflects the niche nature of his research, his contributions are foundational for teams competing in RoboCup, where reliable walking on synthetic grass is a key performance differentiator. His achievements highlight a practical, application-driven approach to robotics, bridging the gap between theoretical control systems and real-world competition demands. For students and researchers, Riananda’s work exemplifies how targeted optimization can solve specific, high-stakes engineering problems in humanoid robotics.
Research Focus
Key Achievements
Top Papers
- 1