Tanima Zaman
Papers
1
Total Citations
3
H-Index
1
About
Tanima Zaman is a researcher focused on advancing autonomous robotics, with a particular emphasis on undefined obstacle avoidance and path planning for mobile robots operating in two-dimensional workspaces. Her most-cited work, a 2020 study on this topic, has garnered 3 citations, laying foundational groundwork for navigating complex, unstructured environments without predefined obstacle maps. This contribution is critical for the development of more adaptive and intelligent robotic systems in real-world settings, such as warehouses, hospitals, and disaster zones. Zaman’s research addresses a key challenge in modern automation: enabling robots to dynamically sense and respond to unexpected barriers, thereby improving safety and efficiency. Her work is part of a broader effort to push the boundaries of autonomous navigation, where her insights into undefined obstacle handling offer practical solutions for engineers and researchers. While her citation count is modest, the relevance of her topic to emerging fields like service robotics and autonomous vehicles underscores its potential for future impact. Zaman’s dedication to solving fundamental problems in path planning marks her as a promising contributor to the ever-advancing field of robotics and automation technology.
Research Focus
Key Achievements
Top Papers
- 1Undefined Obstacle Avoidance and Path Planning3 citations · 2020