Papers
10
Total Citations
56
H-Index
5
About
M.P. Paulraj’s research lies at the intersection of computer vision, robotics, and brain-machine interfaces, with a focus on creating intelligent systems for real-world applications. His early work pioneered stereo vision techniques for bin picking, developing algorithms to segment partially occluded objects and compute their grasping points—a critical challenge in industrial automation. This foundational research, including his most cited paper “Segmentation and Location Computation of Bin Objects” (13 citations), was successfully interfaced with an Adept SCARA robot, demonstrating practical bin-picking operations. Paulraj also advanced mobile robotics by using neural networks and affine moment invariants to estimate robot orientation and position, and by implementing fuzzy logic control for vision-based target tracking in indoor environments. More recently, he has made notable contributions to assistive technology, developing an EEG-based intelligent robot chair with communication aid. By classifying thought-evoked and visually evoked potentials using statistical cross-correlation and neural networks, his work enables individuals with neuromuscular disorders to control a wheelchair and communicate through brain activity alone. With over 50 citations across his key papers, Paulraj’s research demonstrates a sustained impact on both industrial automation and human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1Segmentation and Location Computation of Bin Objects13 citations · 2007
- 2Object Localization using Stereo Sensors for Adept SCARA Robot8 citations · 2006
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- 5Estimation of mobile robot orientation using neural networks5 citations · 2009
- 6Robot chair control using an asynchronous brain machine interface5 citations · 2010
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