Papers
3
Total Citations
57
H-Index
3
About
Dr. Mayank Patel is a robotics researcher focused on developing autonomous systems for real-world service applications, particularly in logistics and healthcare. His work centers on safe human-robot interaction, manipulation, and motion planning. Dr. Patel’s most impactful contribution is his 2019 paper, “Towards Automated Order Picking Robots for Warehouses and Retail,” which has garnered 32 citations and addresses scalable automation for logistics. He further demonstrates practical impact in eldercare with his 2022 study on a mobile service robot that refills water bottles, designed to reduce staff burden from routine tasks—a key step toward safe, socially assistive robotics. In “Guided Stochastic Optimization for Motion Planning” (2019, 12 citations), Dr. Patel advances Learning from Demonstration (LfD) techniques, enabling collaborative robots to learn complex manipulation tasks more efficiently. Collectively, his work bridges the gap between theoretical motion planning and deployable, human-safe robotic assistants, with clear applications in warehousing, retail, and elderly care.
Research Focus
Key Achievements
Top Papers
- 1Towards Automated Order Picking Robots for Warehouses and Retail32 citations · 2019
- 2
- 3Guided Stochastic Optimization for Motion Planning12 citations · 2019