Yudi Isvara
Papers
1
Total Citations
15
H-Index
1
About
Yudi Isvara is a robotics researcher whose work centers on bio-inspired locomotion and adaptive control for multi-legged robots, with a particular focus on enhancing mobility in unstructured environments. His most cited paper, "Terrain adaptation gait algorithm in a hexapod walking robot" (2014, 15 citations), introduces a computationally efficient gait algorithm that enables a hexapod robot—equipped with 18 servo motors and tactile push-button sensors on each leg—to navigate uneven and rough terrain. This contribution is notable for its simplicity and practicality, demonstrating how low-cost sensors can be leveraged for real-time terrain adaptation without complex processing. Isvara’s work bridges the gap between theoretical gait generation and real-world robotic deployment, offering a foundation for further research in field robotics and disaster response. His approach has been cited by peers exploring similar challenges in legged locomotion, underscoring its relevance in the robotics community. Through this research, Isvara has contributed to making autonomous walking robots more resilient and accessible for applications in exploration, surveillance, and search-and-rescue operations.
Research Focus
Key Achievements
Top Papers
- 1Terrain adaptation gait algorithm in a hexapod walking robot15 citations · 2014