Shivam Jaiswal
Papers
1
Total Citations
6
H-Index
1
About
Shivam Jaiswal is a robotics researcher whose work focuses on intelligent path planning and autonomous navigation in complex environments. His key contributions lie at the intersection of algorithm optimization and real-world robotic mobility, particularly in addressing the underexplored challenge of integrating terrain slope into 2D path planning. His most cited work, "Low-Cost Path Planning in 2D Environment using A* Algorithm by Considering Slope of the Obstacle" (2022, 6 citations), introduces a novel adaptation of the classic A* algorithm that accounts for obstacle slope without requiring full 3D modeling. This innovation significantly reduces computational cost while improving navigational safety and efficiency for mobile robots operating in uneven terrains. By bridging the gap between simple 2D planning and computationally expensive 3D approaches, Jaiswal’s research offers a practical solution for cost-sensitive robotic applications, from warehouse logistics to agricultural automation. His work demonstrates a keen ability to identify and solve real-world constraints in autonomous systems, making him a promising voice in the field of mobile robotics and algorithm design.
Research Focus
Key Achievements
Top Papers
- 1