Sharath Jotawar
Papers
2
Total Citations
11
H-Index
2
About
Sharath Jotawar is a robotics researcher specializing in warehouse automation, with a focus on developing intelligent systems for e-commerce and retail logistics. His work centers on integrating perception, motion planning, and robotic manipulation to streamline fulfillment operations. In his most cited paper, "Design and Development of an automated Robotic Pick & Stow System for an e-Commerce Warehouse" (2017, 7 citations), Jotawar details a four-module robotic system that autonomously recognizes and handles objects in a warehouse rack, addressing a critical bottleneck in e-commerce. His follow-up work, "Motion Planning for an Automated Pick and Place Robot in a Retail Warehouse" (2017, 4 citations), demonstrates the practical application of MoveIt software for articulated robots, enabling efficient pick-and-place tasks based on order files. These contributions highlight Jotawar's ability to bridge computer vision and motion planning, creating scalable solutions for real-world logistics challenges. His research is particularly relevant for students and engineers interested in robotics, automation, and the future of supply chain technology, offering a blueprint for reducing manual labor in high-throughput environments.
Research Focus
Key Achievements
Top Papers
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- 2