Research

DART investigates the dynamics of spaceflight and develops methods for autonomous exploration. Our research spans mission design, spacecraft guidance and navigation, and the physical processes that shape small bodies. We combine mathematical models and numerical simulations with laboratory experiments to study challenging environments and test the systems needed to operate within them. Applications include interplanetary transfers, cislunar missions, close-proximity operations, and surface exploration.

Astrodynamics and Mission Design

The gravitational environments of the Solar System offer opportunities for efficient spaceflight, but also create demanding trajectory-design problems. We investigate nonlinear dynamics and develop optimisation methods for missions with limited propulsion and complex operational constraints. Our work covers interplanetary transfers, motion in the Earth–Moon system, and trajectories near small bodies.

  • Mission analysis Interplanetary, cislunar, and close-proximity trajectories, including rendezvous and gravity-assist sequences.
  • Trajectory optimisation Direct and indirect methods for low-thrust missions, with flight time, propellant use, and operational constraints considered in the design.
  • Nonlinear astrodynamics Dynamical structures, phase-space analysis, and ballistic capture for trajectory design.

DART develops trajectory-optimisation tools including DIRETTO, based on direct collocation, and the LT2.0 low-thrust optimiser.

Family of trajectories from the nonlinear astrodynamics presentation.
Orbital structures studied through nonlinear astrodynamics. Credit: DART Lab, Politecnico di Milano

Selected publications

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Autonomous Guidance, Navigation and Control

Autonomous spacecraft must determine their motion and adapt their trajectory with limited support from Earth. We develop guidance, navigation, and control methods for different mission phases, accounting for uncertain dynamics, imperfect measurements, and onboard computing constraints. Optical observations provide navigation information across distances, from unresolved celestial bodies to surface features visible during close approach.

  • Guidance and control Trajectory replanning, goal-oriented proximity guidance, and model predictive control under navigation and dynamical uncertainty.
  • Optical navigation Measurements from unresolved bodies, resolved shapes and limbs, and tracked surface landmarks.
  • Localisation and mapping SLAM for estimating spacecraft motion while reconstructing the observed environment during close-proximity operations.
  • Embedded autonomy Algorithms and software for processors with limited power and memory, including autonomous scheduling, monitoring, and diagnostics.

Navigation strategies change with viewing geometry and the information available in the images. Guidance and control use the estimated state to update spacecraft actions.

  • Far range Unresolved celestial bodies
  • Mid range Resolved shapes and limbs
  • Close range Surface features and mapping
Visual SLAM for small-body navigation: feature tracking at Itokawa, and target shape, state and spacecraft motion estimation at Bennu. Separate simulated scenarios, accelerated playback. Credit: DART Lab, Politecnico di Milano

Selected publications

All 189 papers in this area →

Small-Body Science and Exploration

Small bodies preserve information about the history of the Solar System and present unusual environments for exploration. We study how local material properties and particle interactions influence their large-scale behaviour. The work combines theoretical models, numerical experiments, and physical testing to investigate asteroid dynamics and the interaction between spacecraft and low-gravity surfaces.

  • Asteroid and particle dynamics Granular mechanics, collective behaviour, and numerical modelling with the GRAINS N-body code.
  • Impacts and surface interaction Impact processes, lander–surface contact, and mobility in low-gravity environments.
  • Experiments and instrumentation Microgravity experiments, remote imaging, and tools for drilling and investigating small-body surfaces.

These activities support scientific exploration and planetary defence, while informing the design of surface operations and instruments.

Numerical simulation of interaction with a granular surface. Credit: DART Lab, Politecnico di Milano
View a granular-dynamics simulation
Numerical simulation of a granular aggregate. Credit: DART Lab, Politecnico di Milano

Digital and Physical Twins

Representative testing connects algorithm development to the behaviour of real sensors and hardware. We combine numerical simulation with physical test environments to investigate spacecraft motion, sensing, and control. Hardware-in-the-loop experiments allow GNC systems to interact with real components while a simulated mission supplies the surrounding dynamics.

  • Optical and robotic testing Controlled illumination and relative-motion experiments for cooperative and non-cooperative targets.
  • Integrated GNC simulation Combined attitude, optical, and thrust testing through STASIS, RETINA, and ETHILE within the EXTREMA Simulation Hub.
  • Experimental validation Subsystem integration, autonomous GNC testing, and faster-than-real-time simulation frameworks.

The Facilities page provides further information on the experimental infrastructure supporting this research.

Two robotic arms, an asteroid model, and a translation rail in a dark optical laboratory.
Robotic test setup for spacecraft–target relative motion and optical sensing. Credit: DART Lab, Politecnico di Milano

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Research supporting mission operations

Science operations

Research also supports the planning and interpretation of mission observations, including the LUMIO Science Operations Centre and the Milani Navigation Experiment Operations Centre.

Space-system cybersecurity

Space-system modelling and cyber-range environments support the study of threats, onboard threat identification, and cybersecurity exercises involving simulated and physical system components.

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