Papers

2

Total Citations

6

H-Index

2

About

Shambhavi Singh is a rising researcher in multi-agent robotics, whose work focuses on the computational challenges of collective construction. Her research addresses the fundamental problem of how teams of simple, cubic robots can autonomously build complex three-dimensional structures from blocks. Singh’s key contributions lie in developing novel planning algorithms that decompose large-scale building tasks into manageable sub-problems. Her 2023 paper, “Multi-Agent Collective Construction Using 3D Decomposition,” introduces a method for generating efficient plans by breaking down a target structure into smaller, parallelizable sections, enabling multiple robots to work simultaneously without conflict. Building on this, her 2024 work, “Hierarchical Planning for Long-Horizon Multi-Agent Collective Construction,” tackles the even greater challenge of long-duration projects, creating a planner that coordinates robots over extended periods to complete intricate designs. Though early in her career, Singh’s work is already garnering attention (with 4 and 2 citations respectively) for its practical approach to a core problem in robotics. Her algorithms could one day enable autonomous swarms to build habitats on other planets or assemble large-scale infrastructure here on Earth, marking her as a promising innovator in the field of multi-agent systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Multi-Agent Collective Construction Using 3D Decomposition
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Birla Institute of Technology and Science, Pilani, Carnegie Mellon University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago