Papers
2
Total Citations
22
H-Index
2
About
Alok Sanyal is a robotics researcher specializing in autonomous navigation and intelligent manipulation systems. His work centers on developing practical solutions for mobile robot path planning across diverse environments, from structured industrial settings to unstructured real-world spaces. His most influential contribution, the comprehensive review "Path Planning Approaches for Mobile Robot Navigation in Various Environments: A Review" (2021), has garnered 15 citations, establishing itself as a key reference for researchers exploring navigation algorithms. Sanyal further demonstrates his applied expertise through the "Design and Implementation of an Autonomous Robot Manipulator for Pick & Place Planning" (2019), where he integrated a four-degree-of-freedom robotic arm with artificial intelligence techniques to achieve precise object manipulation. This work showcases his ability to bridge theoretical planning with tangible robotic control, advancing the field of autonomous pick-and-place operations. With a focused portfolio that combines survey-level synthesis with hands-on system design, Sanyal’s research provides foundational insights for students and engineers working toward more capable, self-navigating robots in logistics, manufacturing, and service applications.
Research Focus
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Top Papers
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