Tehil Bansal
Papers
1
Total Citations
3
H-Index
1
About
Tehil Bansal is a researcher at the forefront of autonomous robotics, specializing in motion planning and navigation within complex, dynamic environments. Her most notable contribution is the development of a probabilistic roadmap generation technique that significantly enhances the efficiency and safety of autonomous robot path planning. This work, published in 2024, has already garnered 3 citations, signaling its early impact on the field. Bansal's approach addresses the critical challenge of enabling robots to adapt to real-time changes in their surroundings, moving beyond static, pre-mapped routes. By integrating probabilistic methods with dynamic obstacle avoidance, her research lays crucial groundwork for more reliable autonomous systems in applications ranging from warehouse logistics to self-driving vehicles. Her work is particularly notable for its practical focus, bridging the gap between theoretical algorithms and real-world deployment. As a rising voice in robotics, Bansal's contributions are poised to influence the next generation of intelligent, autonomous machines.
Research Focus
Key Achievements
Top Papers
- 1