3 papers
cs.LG2026
Memory-Efficient Meta-Reinforcement Learning for Adaptive Safety-Critical Control in Adversarial Spacecraft Proximity Operations
Alejandro Posadas-Nava, Richard Linares, Minduli Wijayatunga
Autonomous spacecraft rendezvous and proximity operations (RPO) require controllers that guarantee safety under thrust constraints while minimizing fuel expenditure. Input-constrai…
cs.RO2025
Action Chunking with Transformers for Image-Based Spacecraft Guidance and Control
Alejandro Posadas-Nava, Andrea Scorsoglio, Luca Ghilardi +2
We present an imitation learning approach for spacecraft guidance, navigation, and control(GNC) that achieves high performance from limited data. Using only 100 expert demonstratio…
cs.RO2025
BEAVR: Bimanual, multi-Embodiment, Accessible, Virtual Reality Teleoperation System for Robots
Alejandro Posadas-Nava, Alejandro Carrasco, Richard Linares
\textbf{BEAVR} is an open-source, bimanual, multi-embodiment Virtual Reality (VR) teleoperation system for robots, designed to unify real-time control, data recording, and policy l…