Amit Kumar Bedaka
Papers
8
Total Citations
168
H-Index
7
About
Amit Kumar Bedaka is a robotics and automation researcher whose work sits at the intersection of computer-aided design, offline programming, and autonomous robot systems. His research primarily focuses on developing CAD-based offline programming (OLP) platforms that enable industrial robots to operate with minimal human intervention — a critical advancement for modern smart manufacturing environments. Bedaka's most influential contribution, cited over 54 times, integrates three-dimensional vision with offline programming to achieve automatic robot path planning, significantly reducing manual configuration time and cost in industrial settings. His development of OLP platforms built on OPEN CASCADE open-source libraries — earning 33 citations — has provided accessible, cost-effective tools for manufacturers deploying 6-DOF and multi-axis robotic systems in welding, grinding, and inspection tasks. His research extends to highly specialized applications, including trajectory planning for robotic propeller blade sharpening (25 citations) and RGB-D model-guided autonomous inspection systems (14 citations), demonstrating the practical versatility of his frameworks across diverse industries. With a cumulative citation profile exceeding 168 references, Bedaka has established himself as a meaningful contributor to industrial robotics automation, particularly in bridging the gap between CAD modeling and real-world autonomous robot deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2CAD-based robot path planning and simulation using OPEN CASCADE33 citations · 2018
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- 7Autonomous path generation platform for robot simulation9 citations · 2017
- 8AUTONOMOUS CAD MODEL–BASED INDUSTRIAL ROBOT MOTION PLANNING PLATFORM3 citations · 2019