Akshaya Kesarimangalam Srinivasan

Carnegie Mellon University

Papers

3

Total Citations

14

H-Index

2

About

Akshaya Kesarimangalam Srinivasan is a rising researcher in robotics, whose work focuses on multi-agent systems, autonomous search, and collective construction. Her research addresses critical challenges in deploying robot teams for complex, real-world tasks, particularly in humanitarian assistance and disaster relief (HADR). In her highly cited 2022 paper, "A Local Optimization Framework for Multi-Objective Ergodic Search" (8 citations), Srinivasan developed a novel approach for robots to efficiently search for signs of life while balancing conflicting objectives and incomplete information—a crucial capability for disaster response. She has also made significant contributions to Multi-Agent Collective Construction (MACC), introducing a 3D decomposition method (2023, 4 citations) and a hierarchical planner for long-horizon construction tasks (2024, 2 citations). These works enable teams of cubic robots to collaboratively build complex three-dimensional structures, advancing the frontier of autonomous construction. Srinivasan’s research is notable for its practical focus on scalability and real-world applicability, bridging the gap between theoretical multi-agent planning and tangible robotic systems. Her growing citation record reflects the importance of her contributions to the fields of search and rescue robotics and collective construction.

Research Focus

Key Achievements

2
H-Index
3
Papers
14
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A Local Optimization Framework for Multi-Objective Ergodic Search
8 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago