Indraneel Patil
Papers
3
Total Citations
31
H-Index
2
About
Indraneel Patil is a robotics researcher whose work bridges perception, planning, and real-time control for autonomous systems in complex environments. His primary research areas include robotic manipulation, 3D perception, multi-robot coordination, and human-robot collaboration. Patil’s most impactful contribution is a novel algorithm for extracting weld seams from 3D point clouds in real time, enabling a 5-DOF robotic arm to perform adaptive welding independent of workpiece geometry—work that has garnered 26 citations and addresses a critical bottleneck in industrial automation. He has also advanced multi-robot search and rescue with a graph-based planning approach that simultaneously optimizes exploration and coverage, reducing mission time in large unknown spaces. Additionally, Patil pioneered the use of 3D convolutional neural networks to predict bottleneck points in cluttered environments, facilitating safer and more efficient manipulation planning for collaborative robots. His research, published in venues like ICRA and IEEE conferences, demonstrates a consistent focus on making robots more autonomous and responsive in unstructured settings—a theme that runs through his work from welding to search operations.
Research Focus
Key Achievements
Top Papers
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