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
Top Papers
- 1Multi-Agent Collective Construction Using 3D Decomposition4 citations · 2023
- 2