1 citations · 2 across the 6 of their papers we have counts for
8 papers
SiteEvo: An LLM Agent for Autonomous Discovery of Site-Adaptive Massive MIMO Detectors
Jiajia Guo, Chao-Kai Wen, Shi Jin +1
Designing a massive multiple-input multiple-output (MIMO) detector that is tailored to each specific deployment site can improve detection performance, yet most existing detectors,…
Dimension of affine iterated function systems on
Jialun Li, Wenyu Pan, Zhiyuan Zhang
Let be an affine iterated function system on with attractor , and let be an associated self-affine measure. Assume that the $M_…
Goal Sets, Not Goal States: Queryable Robot Goals through Goal-Set Hindsight Relabeling
Carlos Vélez García, Miguel Cazorla, Jorge Pomares
Hindsight relabeling usually turns achieved future states into exact goals, which can overconstrain offline robot learning when task success depends only on a subset of the state.…
Path Planning and Reinforcement Learning-Driven Control of On-Orbit Free-Flying Multi-Arm Robots
Álvaro Belmonte-Baeza, José Luis Ramón, Leonard Felicetti +2
This paper presents a hybrid approach that integrates trajectory optimization (TO) and reinforcement learning (RL) for motion planning and control of free-flying multi-arm robots i…
Planning as Descent: Goal-Conditioned Latent Trajectory Synthesis in Learned Energy Landscapes
Carlos Vélez García, Miguel Cazorla, Jorge Pomares
We present Planning as Descent (PaD), a framework for offline goal-conditioned reinforcement learning that grounds trajectory synthesis in verification. Instead of learning a polic…
Autonomous Legged Mobile Manipulation for Lunar Surface Operations via Constrained Reinforcement Learning
Alvaro Belmonte-Baeza, Miguel Cazorla, Gabriel J. García +2
Robotics plays a pivotal role in planetary science and exploration, where autonomous and reliable systems are crucial due to the risks and challenges inherent to space environments…
Escaping The Big Data Paradigm in Self-Supervised Representation Learning
Carlos Vélez García, Miguel Cazorla, Jorge Pomares
The reliance on large-scale datasets and extensive computational resources has become a major barrier to advancing representation learning in vision, especially in data-scarce doma…
Continuation of an Optical Spectroscopic Campaign of Fermi Blazar Candidates with TNG: Discovery of a New Changing-Look Blazar
N. Álvarez Crespo, A. Domínguez, V. S. Paliya +3
Context. Blazars are a distinct subclass of active galactic nuclei (AGN), known for their fast variability, high polarization, and intense emission across the electromagnetic spect…