Chinmay Todankar

Papers

Total Citations

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About

Chinmay Todankar is a researcher at the forefront of robotic automation and intelligent manufacturing, with a primary focus on vision-based control systems for industrial metal cutting. His most-cited work, "Vision-Based Oxy-Fuel Torch Control for Robotic Metal Cutting" (2023), introduces a novel control scheme that integrates computer vision with robotic manipulation to automate oxy-fuel torch operations—a traditionally manual and hazardous process. This contribution directly addresses critical challenges in manufacturing and metal recycling, offering enhanced precision, safety, and efficiency. By developing a system that enables robots to visually perceive and adapt to cutting conditions in real time, Todankar has laid foundational groundwork for the next generation of autonomous industrial tools. While his citation count is currently modest (3 citations), the practical significance and timeliness of his research signal strong potential for future impact as industries increasingly adopt automation. His work exemplifies how bridging computer vision and robotics can transform legacy processes, making him a promising voice in the fields of robotic control, industrial automation, and cyber-physical systems.