1 citations · 3 across the 12 of their papers we have counts for
7 papers · 1 filter
Varying Bundle Size Reactive Multi-Task Assignment using Selective Cost Estimation for Multi-Agent Systems
Niklas Dahlquist, Shridhar Velhal, George Nikolakopoulos
This paper presents a scalable framework for multi-robot task allocation in complex environments where estimating task execution costs is computationally expensive. While combinato…
Optimal Safety-Aware Scheduling for Multi-Agent Aerial 3D Printing with Utility Maximization under Dependency Constraints
Marios-Nektarios Stamatopoulos, Shridhar Velhal, Avijit Banerjee +1
This article presents a novel coordination and task-planning framework to enable the simultaneous conflict-free collaboration of multiple unmanned aerial vehicles (UAVs) for aerial…
Autonomous Reactive Masonry Construction using Collaborative Heterogeneous Aerial Robots with Experimental Demonstration
Marios-Nektarios Stamatopoulos, Elias Small, Shridhar Velhal +2
This article presents a fully autonomous aerial masonry construction framework using heterogeneous unmanned aerial vehicles (UAVs), supported by experimental validation. Two specia…
Safety-Aware Optimal Scheduling for Autonomous Masonry Construction using Collaborative Heterogeneous Aerial Robots
Marios-Nektarios Stamatopoulos, Shridhar Velhal, Avijit Banerjee +1
This paper presents a novel high-level task planning and optimal coordination framework for autonomous masonry construction, using a team of heterogeneous aerial robotic workers, c…
A Resource-Efficient Decentralized Sequential Planner for Spatiotemporal Wildfire Mitigation
Josy John, Shridhar Velhal, Suresh Sundaram
This paper proposes a Conflict-aware Resource-Efficient Decentralized Sequential planner (CREDS) for early wildfire mitigation using multiple heterogeneous Unmanned Aerial Vehicles…
A Decentralized Spike-based Learning Framework for Sequential Capture in Discrete Perimeter Defense Problem
Mohammed Thousif, Shridhar Velhal, Suresh Sundaram +1
This paper proposes a novel Decentralized Spike-based Learning (DSL) framework for the discrete Perimeter Defense Problem (d-PDP). A team of defenders is operating on the perimeter…
A Non-iterative Spatio-temporal Multi-task Assignments based Collision-free Trajectories for Music Playing Robots
Shridhar Velhal, Krishna Kishore VS, Suresh Sundaram
In this paper, a non-iterative spatio-temporal multi-task assignment approach is used for playing piano music by a team of robots. This paper considers the piano playing problem, i…