4 papers · 1 filter
RoughSense: Lightweight Terrain-Induced Rover Vibration Prediction Using Point Clouds and IMU Feedback
Gabriel Manuel Garcia, Stephanie Aravecchia, Miguel Angel Olivares-Mendez
Autonomous navigation in space requires reliable terrain assessment for safe operations, especially in underground environments with limited communication, computing resources, and…
Sim-to-Real Transfer and Robustness Evaluation of Reinforcement Learning Control with Integrated Perception on an ASV for Floating Waste Capture
Luis F. W. Batista, Stéphanie Aravecchia, Cédric Pradalier
Autonomous surface vessels for floating-waste removal operate under varying hydrodynamics, external disturbances, and challenging water-surface perception. We present a field-valid…
Evaluating Robustness of Deep Reinforcement Learning for Autonomous Surface Vehicle Control in Field Tests
Luis F. W. Batista, Stéphanie Aravecchia, Seth Hutchinson +1
Despite significant advancements in Deep Reinforcement Learning (DRL) for Autonomous Surface Vehicles (ASVs), their robustness in real-world conditions, particularly under external…
How To Train Your HERON
Antoine Richard, Stephanie Aravecchia, Thomas Schillaci +2
In this paper we apply Deep Reinforcement Learning (Deep RL) and Domain Randomization to solve a navigation task in a natural environment relying solely on a 2D laser scanner. We t…