Miguel Angel Olivares-Méndez — accepted AI-conference papers

2025

MPC-based Deep Reinforcement Learning Method for Space Robotic Control with Fuel Sloshing Mitigation

Mahya Ramezani, M. Amin Alandihallaj, Baris Can Yalçin, Miguel Angel Olivares-Méndez, Holger Voos

IROS 2025

This paper presents an integrated Reinforcement Learning (RL) and Model Predictive Control (MPC) framework for autonomous satellite docking with a partially filled fuel tank. Traditional docking control faces challenges due to fuel sloshing in microgravity, which induces unpredictable forces affecti

Cited by 3 Source ↗Scholar ↗

2025

REALMS2 - Resilient Exploration And Lunar Mapping System 2 - A Comprehensive Approach

Dave van der Meer, Loïck Chovet, Gabriel Manuel Garcia, Abhishek Bera, Miguel Angel Olivares-Méndez

IROS 2025

The European Space Agency (ESA) and the European Space Resources Innovation Centre (ESRIC) created the Space Resources Challenge to invite researchers and companies to propose innovative solutions for Multi-Robot Systems (MRS) space prospection. This paper proposes the Resilient Exploration And Luna

Cited by 0 Source ↗Scholar ↗