Siddarth Sreeram
Papers
1
Total Citations
48
H-Index
1
About
Siddarth Sreeram is a researcher at the intersection of human motion analysis and robotics, with a primary focus on developing accessible motion capture technologies for human-mimicking systems. His most cited work, "Comparison of Kinect and Vicon Motion Capture of Upper-Body Joint Angle Tracking" (2018, 48 citations), provides a critical benchmark for low-cost motion tracking, demonstrating that consumer-grade depth sensors can achieve reliable upper-body joint angle data compared to gold-standard Vicon systems. This contribution is particularly significant for applications in occupational robotics—Sreeram’s research targets real-world scenarios where repetitive or hazardous tasks, such as those performed by traffic police and aircraft marshals exposed to pollution and physical strain, can be automated or assisted by humanoid robots. By validating affordable motion capture for generating realistic trajectory profiles, his work lowers barriers for labs and industries seeking to develop ergonomic robotic assistants. Sreeram’s impact lies in bridging the gap between high-fidelity biomechanics and practical, scalable solutions for human-robot interaction, offering a pathway to safer, more efficient work environments.
Research Focus
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Top Papers
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