Aeri Rachmad
Papers
1
Total Citations
2
H-Index
1
About
Aeri Rachmad’s research lies at the intersection of robotics, trajectory optimization, and dynamic obstacle avoidance, with a particular focus on soccer robotics. In their most cited work, "Representation of Soccer Robotics in The Fastest Trajectory Tracking" (2022, 2 citations), Rachmad tackles a core challenge in autonomous navigation: enabling robots to compute the shortest path to a target while continuously adapting to moving obstacles. By modeling soccer robots as agents in a highly dynamic environment, Rachmad demonstrates that optimal movement requires not only minimizing distance but also constantly comparing obstructed versus clear routes. This contribution advances real-time decision-making for multi-agent systems, where split-second path corrections can determine success. Though early in their citation impact, Rachmad’s work is foundational for researchers developing agile, obstacle-aware robots in competitive or unpredictable settings. Their focus on balancing speed with safety in trajectory tracking positions them as a promising voice in robotics, with implications extending beyond sports to autonomous vehicles and drone navigation.
Research Focus
Key Achievements
Top Papers
- 1Representation of Soccer Robotics in The Fastest Trajectory Tracking2 citations · 2022