Intelligent Space: Big Data, Advanced Algorithms, and Autonomous Robotics in Space

Day: Wednesday 16 October
Time: 09:00 - 10:00 CEST
Location: Auditorium, Level 3, South Wing, MiCo Convention Centre

Advanced algorithms driven by big datasets are improving our lives on Earth–from autonomous driving, and social media content recommendations, to predicting satellite collisions and landing reusable rocket boosters. The frontier of artificial intelligence is developed by larger and larger datasets, sufficient computing power to operate advanced algorithms in real-time, and advanced algorithms that find meaningful patterns to provide desired outcomes. Intelligent systems refers to the general infrastructure of using data and information to conduct sophisticated and complex operations, which includes big data, automation, artificial intelligence, and machine learning. Intelligent systems are becoming a growing cornerstone of space operations due to its increasing complexity, lack of capacity for real-time human intervention, and the huge amount of variables involved.

This session aims to showcase young professionals and emerging leaders who are actively involved in space initiatives that utilize intelligent systems, augment space operations with machine learning, or conduct data-driven activities in space. This session asks panelists to discuss their activities related to:

  1. Creating and curating space-sourced big data systems, notably those using Earth Observation (EO) data, especially in terms of data storage, data integration, data processing/accessing, and cloud computing
  2. Developing, managing, or utilizing advanced algorithms for spacecraft operations, such as tracking space debris, stationkeeping, redirecting space assets, and docking/launching spacecrafts in space
  3. Transitioning existing advanced algorithms for Earth for use in space, such as terrestrial navigation, obstacle avoidance, and object manipulation for lunar/Martian driving or construction applications
  4. Ensuring space data integrity such as space bandwidth management, curating inter-satellite networks, data traffic with multiple ground stations during downlink, and minimizing data loss or correcting data corruption.
  5. Use of autonomous robotics to assist or replace human spaceflight, such as autonomous construction robots, robotic arms around space stations for EVAs, or robotic support in zero-g environments

This proposed Next Generation Plenary will especially focus on how intelligent systems can operate in the space environment, where there is less data, greater communication distances, and a more extreme environment for robotics systems. The plenary will also showcase voices from those who are interested in data-driven governance, combating data-based biases, artificial intelligence ethics, or laws, regulations, and policies of using automation for space environments.



Founder & CEO, Mission Control




Co-founder and the Chief Technical Officer, Obruta



PhD Candidate, Australian Centre for Robotics, The University of Sydney



PhD Candidate, Massachusetts Institute of Technology

United States


Assistant Professor, Department of Aerospace Engineering, Tohoku University



PhD Candidate, International Institute of Air and Space Law, Leiden University