3 citations · 9 across the 25 of their papers we have counts for
4 papers · 1 filter
Collision-free landing of multiple UAVs on moving ground vehicles using time-varying control barrier functions
Viswa Narayanan Sankaranarayanan, Akshit Saradagi, Sumeet Satpute +1
In this article, we present a centralized approach for the control of multiple unmanned aerial vehicles (UAVs) for landing on moving unmanned ground vehicles (UGVs) using control b…
Multi-Agent Path Finding Using Conflict-Based Search and Structural-Semantic Topometric Maps
Scott Fredriksson, Yifan Bai, Akshit Saradagi +1
As industries increasingly adopt large robotic fleets, there is a pressing need for computationally efficient, practical, and optimal conflict-free path planning for multiple robot…
Deployment of an Aerial Multi-agent System for Automated Task Execution in Large-scale Underground Mining Environments
Niklas Dahlquist, Samuel Nordström, Nikolaos Stathoulopoulos +3
In this article, we present a framework for deploying an aerial multi-agent system in large-scale subterranean environments with minimal infrastructure for supporting multi-agent o…
Curriculum-based Sample Efficient Reinforcement Learning for Robust Stabilization of a Quadrotor
Fausto Mauricio Lagos Suarez, Akshit Saradagi, Vidya Sumathy +2
This article introduces a novel sample-efficient curriculum learning (CL) approach for training an end-to-end reinforcement learning (RL) policy for robust stabilization of a Quadr…