3 papers
cs.RO2026
Aerial Inspection Behaviors via RL-based Quadrotor Control for Under-canopy Forest Environments
Fausto Mauricio Lagos Suarez, Akshit Saradagi, Vidya Sumathy +2
This paper addresses the problem of using a deep Reinforcement Learning (RL)-based low-level Quadrotor controller within an autonomous Quadrotor navigation stack for aerial inspect…
cs.RO2026
A Heuristic Approach for Performance Tuning in RL-based Quadrotor Control via Reward Design and Termination Conditions
Fausto Mauricio Lagos Suarez, Akshit Saradagi, Vidya Sumathy +1
Reinforcement learning (RL)-based quadrotor control policies have achieved impressive performance in tasks such as fast navigation in cluttered environments and drone racing, where…
cs.RO2026
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…