Anuj Aggarwal
Papers
1
Total Citations
9
H-Index
1
About
Anuj Aggarwal’s research lies at the intersection of robotics, motion planning, and computational geometry, with a particular focus on enabling safe and efficient navigation for mobile robots in dynamic environments. His most cited work introduces an innovative approach to collision-free path planning by leveraging offset Non-Uniform Rational B-Splines (NURBS)—a mathematically elegant method that combines vector addition techniques with spline curves to navigate around polygonal obstacles in real time. This contribution addresses a fundamental challenge in robotics: how to generate smooth, adaptable trajectories when the environment is constantly changing. With 9 citations, this paper has provided a foundational framework for researchers working on autonomous navigation and path optimization. Aggarwal’s work is notable for its mathematical rigor and practical applicability, bridging the gap between theoretical spline theory and real-world robotic systems. His research continues to influence developments in dynamic obstacle avoidance, making him a valuable contributor to the field of intelligent robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1