SPACE 2026 — IEEE SPace, Aerospace and defenCE Conference

Scaling AI-Compute for Autonomous Space Missions

Scaling AI-Compute for Autonomous Space Missions

July 19, 2026

Speakers

Narayanan Subramanian

Founder and CTO, Vanashri Technology Consulting

 

Dr. Snigdha Sen

Senior Assistant Professor,
Manipal Institute of Technology, Bengaluru

Dr. Shreya Banerjee

Associate Professor, Manipal Institute of Technology, Bengaluru

 

Dr. Jayita Saha

Associate Professor, Manipal Institute of Technology, Bengaluru

 

Abstract

Future space missions are fundamentally different from traditional ones. Earlier spacecraft were tele-operated — most decisions were made on Earth and transmitted to the spacecraft. However, this model is no longer viable for deep-space exploration. Communication latency alone creates a critical bottleneck. Therefore, spacecraft must become autonomous intelligent agents capable of perception, reasoning, and decision-making. This requires the integration of advanced sensing, onboard data processing, edge AI, probabilistic reasoning, reinforcement learning, and fault-tolerant decision-making systems. As the demand for these technologies grows, it is essential to adapt existing hardware, software & AI architectures, designs, and algorithms, or to innovate radically to enable the deployment and management of these assets at scale. This must be achieved with the required energy and resource efficiency to ensure sustainability over their expected deployment lifetimes.

We invite submissions for a special session focused on the critical need to deploy AI-at-the-Edge and Edge-Compute in Space Assets, including Earth Observation Satellites, Orbital Data Centers, Lunar & Planetary Compute Platforms, and Autonomous Robots and Rovers for Servicing & Exploratory missions.

List of Topics

  • Energy-Efficient Edge-AI Architectures
  • Compute-Efficient AI/ML for Autonomous Remote Sensing
  • Robotics in Deployment and Serviceability of Data Centres in Space
  • Cluster Architectures for Rover and Drone Swarms for Autonomous Space Operations
  • Network Interconnects for Data Centres in Space
  • AI/ML approaches for Astronomy and Astrophysics
  • Geospatial Data portals and Information Science
  • Drone Swarms for Autonomous Space Operations
  • Hyperspectral Image Analysis
  • Anomaly Detection in Spacecraft