Kedar Chitnis
Texas Instruments (United States), Texas Instruments (India)
Papers
2
Total Citations
8
H-Index
2
About
Kedar Chitnis is a researcher focused on the intersection of embedded systems, computer vision, and industrial automation. His work addresses critical challenges in heterogeneous multi-core computing and precision motion control. His most cited paper, "Novel OpenVX implementation for heterogeneous multi-core systems" (2017, 5 citations), proposes a software framework that efficiently utilizes diverse computing elements—CPU, GPU, HWA, and DSP—for computer vision applications in automotive, robotics, AR/VR, and industrial machine vision. This work is pivotal for achieving high utilization and low latency in modern vision systems. In "Single Chip Connected Multi-Axis Servo Drive for Industrial Systems" (2022, 3 citations), Chitnis tackles precision motion control, developing a compact, single-chip solution for multi-axis servo drives used in robotic arms and conveyor belts. His contributions advance both the efficiency of vision processing on heterogeneous platforms and the miniaturization of industrial control systems, demonstrating a clear impact on real-world automation and embedded system design.
Research Focus
Key Achievements
Top Papers
- 1Novel OpenVX implementation for heterogeneous multi-core systems5 citations · 2017
- 2Single Chip Connected Multi-Axis Servo Drive for Industrial Systems3 citations · 2022