1 citations · 1 across the 3 of their papers we have counts for
4 papers
Optimal Integrated Task and Path Planning and Its Application to Multi-Robot Pickup and Delivery
Aman Aryan, Manan Modi, Indranil Saha +2
We propose a generic multi-robot planning mechanism that combines an optimal task planner and an optimal path planner to provide a scalable solution for complex multi-robot plannin…
Online Concurrent Multi-Robot Coverage Path Planning
Ratijit Mitra, Indranil Saha
Recently, centralized receding horizon online multi-robot coverage path planning algorithms have shown remarkable scalability in thoroughly exploring large, complex, unknown worksp…
A Conflict-Aware Optimal Goal Assignment Algorithm for Multi-Robot Systems
Aakash, Indranil Saha
The fundamental goal assignment problem for a multi-robot application aims to assign a unique goal to each robot while ensuring collision-free paths, minimizing the total movement…
Frugal Actor-Critic: Sample Efficient Off-Policy Deep Reinforcement Learning Using Unique Experiences
Nikhil Kumar Singh, Indranil Saha
Efficient utilization of the replay buffer plays a significant role in the off-policy actor-critic reinforcement learning (RL) algorithms used for model-free control policy synthes…