Space

Autonomous Space Systems 

Develop robust algorithms for in-orbit servicing and proximity operations in complex orbital environments. Guidance and control of distributed systems and formation flight for Earth observation and deep-space exploration. Design of learning-based optimal control, for safe operations in dynamic and uncertain conditions. Evaluation of high-precision pointing techniques, and modeling and control of flexible spacecraft structures to maintain stability and performance in evolving mission profiles.

• Develop autonomous guidance and control algorithms for in-orbit servicing and rendezvous operations to enable safe and reliable spacecraft interaction.

• Design cooperative control frameworks for distributed spacecraft systems and formation flight, supporting coordinated missions and scalable architectures.

• Integrate learning-based optimization techniques into control systems to achieve real-time adaptability and improved performance in dynamic space environments.

• Enhance precision pointing and structural control to support high-accuracy missions involving flexible spacecraft components and sensitive instrumentation.