Suryo Aji Waskitho

Robotics Research (United States)

Papers

3

Total Citations

25

H-Index

3

About

Suryo Aji Waskitho is a robotics researcher focused on computer vision and depth perception for humanoid robots. His work centers on enhancing how robots perceive and navigate their environments, particularly through the fusion of multiple depth-sensing technologies. His most significant contributions involve the development of “FloW” vision, a system that merges depth images from stereo cameras and structure sensors to improve a robot’s spatial awareness. In his highly cited 2017 paper, he demonstrated how combining these sensors allows a humanoid robot to more accurately recognize objects and obstacles in real-world settings, a critical capability for autonomous navigation and adaptation. His 2016 work further refined this depth image enhancement technique, laying the groundwork for more robust robotic vision. With over 25 cumulative citations, Waskitho’s research has been recognized for its practical impact on improving sensor fusion for robotics. His achievements highlight a dedication to bridging the gap between human-like visual perception and machine capability, advancing the field of autonomous robotics.

Research Focus

Key Achievements

3
H-Index
3
Papers
25
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Merging of Depth Image Between Stereo Camera and Structure Sensor on Robot “FloW” Vision
10 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Robotics Research (United States)

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago