Shivaputra Shivaputra
Papers
1
Total Citations
1
H-Index
1
About
Shivaputra Shivaputra is a robotics researcher whose work centers on real-time perception and object tracking for autonomous systems. His most notable contribution is the development of DynamicVisionCore, a predictive object tracking framework that integrates YOLOv8 for detection with DeepSORT for multi-object tracking. This framework achieves a Multi-Object Tracking Accuracy (MOTA) of 72.5%, demonstrating high precision and low latency essential for real-time robotics applications. While his work is early-stage, with his most-cited paper currently holding 1 citation, the technical rigor and practical relevance of DynamicVisionCore position it as a promising foundation for future advancements in robotic vision. Shivaputra’s focus on bridging detection and tracking in dynamic environments addresses a critical bottleneck in autonomous navigation and manipulation. As his research matures, it holds potential to influence both academic robotics and industrial deployment. His work reflects a commitment to building efficient, scalable solutions for real-world robotic systems.
Research Focus
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Top Papers
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