Shruti Kotpalliwar

Papers

Total Citations

H-Index

About

Shruti Kotpalliwar is a rising researcher in multi-agent robotics and autonomous path planning, whose work addresses the critical challenge of coordinating heterogeneous robot teams in complex environments. Her most cited paper, "Multi-agent Path Planning Based on Conflict-Based Search (CBS) Variations for Heterogeneous Robots" (2025, 12 citations), introduces Heterogeneous CBS (HCBS)—a novel framework that extends the classic Conflict-Based Search algorithm to simultaneously manage both holonomic and non-holonomic agents. By employing a hybrid A* approach, Kotpalliwar’s method resolves inter-agent conflicts while respecting the distinct kinematic constraints of different robot types, enabling safer and more efficient coordination in real-world scenarios. This contribution is particularly impactful for applications in warehouse automation, search-and-rescue missions, and autonomous driving, where diverse robots must collaborate without collisions. With 12 citations already in its first year, the work signals strong early influence in the multi-agent systems community. Kotpalliwar’s research sits at the intersection of artificial intelligence, robotics, and optimization, offering scalable solutions that push the boundaries of decentralized planning. Her innovative integration of CBS variations for heterogeneous teams marks her as a promising voice in next-generation autonomous systems.