Trishita Ghosh Troyee
Papers
1
Total Citations
2
H-Index
1
About
Trishita Ghosh Troyee is a rising researcher in the field of robotics, with a focused expertise in cable-driven parallel robots (CDPRs) and their application in precision agriculture. Her work addresses a critical challenge: optimizing the path planning of CDPRs to minimize both time and energy consumption—key costs in real-world farming tasks such as weeding, seeding, imaging, and crop nutrition monitoring. In her most-cited paper, "Optimization of CDPR Path Planning using a Branch and Bound Algorithm" (2023), she introduces a novel algorithmic approach that significantly improves the efficiency of these robotic systems. By leveraging a branch and bound method, her research provides a rigorous framework for reducing operational costs, making CDPRs more viable for sustainable agriculture. Though early in her career, her work has already garnered attention within the robotics community, with citations reflecting its relevance to the growing intersection of automation and farming. Troyee’s contributions are paving the way for smarter, more energy-efficient agricultural robots, positioning her as a promising voice in the next generation of field robotics.
Research Focus
Key Achievements
Top Papers
- 1Optimization of CDPR Path Planning using a Branch and Bound Algorithm2 citations · 2023