AI4Space Workshop Overview
The AI4Space workshop at CVPR 2027 brings together researchers, engineers, and space domain experts to address the unique challenges of deploying AI in space environments. As missions demand greater autonomy, resilience, and on-board intelligence, this workshop explores how computer vision and machine learning can enable breakthrough capabilities in spacecraft navigation, planetary exploration, satellite data analysis, and orbital operations.
AI4Space fosters collaboration between machine learning researchers and space scientists, focusing on topics such as vision-based navigation, onboard learning, sim-to-real transfer for robotics, multi-sensor fusion for Earth observation, and AI-driven mission planning—shaping the future of intelligent space exploration.
Keynote Speakers
Steve Chien
Technical Fellow in AI and Co-head of the Artificial Intelligence Group, NASA Jet Propulsion Laboratory
Dr. Steve Chien is a Technical Fellow in Artificial Intelligence and Co-head of the Artificial Intelligence Group at the Jet Propulsion Laboratory (JPL), California Institute of Technology, with decades of experience developing and deploying AI for space missions. His work on autonomous science, automated planning and scheduling, and intelligent spacecraft operations, including Earth Observing One, ESA's Rosetta Orbiter, and NASA's Mars 2020 mission, provides a strong perspective on the transition of AI from research to operational space systems and on enabling increasingly autonomous spacecraft.
Visit Website
Paolo Panicucci
Assistant Professor, Politecnico di Milano (DART Lab)
Dr. Paolo Panicucci is an Assistant Professor at Politecnico di Milano and a researcher at the Deep-space Astrodynamics Research and Technology Laboratory (DART Lab), specializing in computer vision, vision-based navigation, and spacecraft autonomy. His experience in autonomous GNC and projects such as EXTREMA and LUMIO brings expertise in AI-enabled perception and navigation, while his talk on ESA ION-V will introduce neuromorphic computing and sensing for Earth Observation.
Visit Website
Al Tadros
Chief Technology Officer, Redwire
Al Tadros is the CTO of Redwire. With over 30 years of experience in aerospace engineering and leadership, he specializes in AI-enabled autonomy, machine vision, robotics, and rendezvous and proximity operations. Previously, he served as Chief Growth Officer and Executive Vice President of Space Infrastructure at Redwire and Vice President of Space Infrastructure and Civil Space at Maxar Technologies, contributing to 13 space missions and advancing in-space manufacturing, satellite servicing, and autonomous systems. He leads Redwire’s involvement in Stanford University’s Center for AEroSpace Autonomy Research, focusing on AI-driven autonomous reasoning in space. He has served on national space technology advisory boards, holds patents in attitude control systems, and contributed to early telerobotics research for the International Space Station.
Visit Website
Hiro Ono
Associate Professor, Georgia Tech | Director, Planetary Robotics Lab
Dr. Masahiro (Hiro) Ono is an Associate Professor at the School of Aerospace Engineering at Georgia Tech and Director of the Planetary Robotics Lab (PRL). Prior to joining Georgia Tech, he spent 13 years at NASA’s JPL, where he developed autonomous navigation algorithms for the Perseverance Mars rover, led the development of Exobiology Extant Life Surveyor, a snake-like robot designed to explore the potentially habitable subsurface ocean of Enceladus, and led multiple research initiatives in AI and robotics. He also served as Supervisor of JPL’s Robotic Surface Mobility Group and as a rover operator for Perseverance.
Visit WebsiteFishbowl Speakers
Roberto Del Prete
Chief Technology Officer, Setanta Space
Marco Pavone
Professor, Stanford University | Director of Autonomous Vehicle Research, NVIDIA
Simone D'Amico
Associate Professor, Stanford University | Founding Director, Space Rendezvous Laboratory
SPARK 2027
Join us for an exciting AI challenge featuring two cutting-edge streams focused on next-generation space perception!
Stream 1
Multi-Task Spacecraft Perception
Stream 2
Event-Based Pose Estimation
Our Sponsors
Get In Touch
Questions? Ideas? Want to collaborate? Reach out to the AI4Space organizing team!
For general inquiries, please contact: ai4space.organizers@gmail.com