Alejandro Murillo-González

Reinforcement Learning in Robotics Advanced Vision and Imaging Robotic Path Planning Algorithms AI-based Problem Solving and Planning Bayesian Modeling and Causal Inference

Publications

Citations

Est. group size

—

Recurring co-author estimate

Active years

Publishing since 2019

Research summary

AI-generated

Alejandro Murillo-González works in robotics and machine learning, focusing on how robots can learn to understand and adapt to changing situations, plan their actions reliably, and avoid obstacles. Some work also applies learning methods to related problems such as medical image analysis and simulating planetary formation flows. A recurring theme is using causal reasoning and learned models to make robot decision-making more robust.

Robot learning and adaptationCausal reasoning for planningPath planning and obstacle avoidanceMulti-objective policy optimization (reinforcement learning)Vision-based control and image classification

After sporadic output in earlier years, publication activity has grown noticeably, with the most recent years (2025-2026) showing the highest counts.

Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026

Publication cadence

Publications per year over the last 10 years — averaging 2.8/year recently

Recent publications

Situationally-aware dynamics learning
The International Journal of Robotics Research · 2026
fargopy
Zenodo (CERN European Organization for Nuclear Research) · 2026
fargopy
Zenodo (CERN European Organization for Nuclear Research) · 2026
Three-dimensional circumplanetary flows in a PDS 70c-inspired system: hydrodynamic simulations with FARGO3D and analysis with FARGOpy
SSRN Electronic Journal · 2026
Situationally-aware dynamics learning
The International Journal of Robotics Research · 2026
Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization
arXiv (Cornell University) · 2026
Adaptive Smooth Tchebycheff Attention for Multi-Objective Policy Optimization
arXiv (Cornell University) · 2026
Learning Causal Structure Distributions for Robust Planning
IEEE Robotics and Automation Letters · 2025
Action Flow Matching for Lifelong Learning
2025
Learning Causal Structure Distributions for Robust Planning
arXiv (Cornell University) · 2025
Action Flow Matching for Continual Robot Learning
arXiv (Cornell University) · 2025
Data-Assisted Vision-Based Hybrid Control for Robust Stabilization with Obstacle Avoidance via Learning of Perception Maps
2022 American Control Conference (ACC) · 2022
Medical decision support system using weakly-labeled lung CT scans
Frontiers in Medical Technology · 2022
Data-Assisted Vision-Based Hybrid Control for Robust Stabilization with Obstacle Avoidance via Learning of Perception Maps
arXiv (Cornell University) · 2022
Laguerre-Gauss Preprocessing: Line Profiles as Image Features for Aerial Images Classification
arXiv (Cornell University) · 2019

Publishes in

arXiv (Cornell University)×7
The International Journal of Robotics Research×2
Zenodo (CERN European Organization for Nuclear Research)×2
IEEE Robotics and Automation Letters×1
2022 American Control Conference (ACC)×1

This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 11, 2026.

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