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Data-driven predictive analytics of runway occupancy time for improved capacity at airports
(Massachusetts Institute of Technology, 2020)
Runway Occupancy Time (ROT) is a major constraint for runway throughput. An incentive exists to reduce ROT at capacity-constrained airports and accommodate additional air transportation demand. The availability of a large ...
A study of emerging space nation and commercial satellite operator stakeholder preferences for space traffic management
(Massachusetts Institute of Technology, 2020)
The near-Earth space environment is a finite, shared resource. Trends including reduced launch costs, electronics miniaturization, and preference for resilient, disaggregated architectures are driving significant growth ...
Real-time quasi-analytical trajectory generation for docking with tumbling objects
(Massachusetts Institute of Technology, 2020)
The capability to rendezvous and dock with tumbling objects has become prominent with increased interest in active debris removal, satellite servicing, and in-space assembly. Guidance and control algorithms have been ...
A Comparison of artificial intelligence algorithms for dynamic power allocation in flexible high throughput satellites
(Massachusetts Institute of Technology, 2020)
The Dynamic Resource Management (DRM) problem in the context of multibeam satellite communications is becoming more relevant than ever. The future landscape of the industry will be defined by a substantial increase in ...
Composition sensors calibration and characterization and warmup analysis for the Mars Oxygen In-Situ Resource Utilization Experiment (MOXIE)
(Massachusetts Institute of Technology, 2021)
MOXIE, the Mars Oxygen In-Situ Resource Utilization Experiment, is one of the payloads that is being carried on the Mars 2020 Perseverance rover. MOXIE was developed by MIT and NASA's Jet Propulsion Laboratory (JPL) to ...
A stochastic life cycle and greenhouse gas abatement cost assessment of renewable drop-in fuels
(Massachusetts Institute of Technology, 2020)
Moment-based risk-bounded trajectory planning for autonomous vehicles
(Massachusetts Institute of Technology, 2020)
Uncertainty in the behavior of agents on the road is arguably one of the greatest challenges preventing the large scale deployment of fully autonomous vehicles on public roads. This uncertainty is complex and challenging ...
Output-based adaptive RANS solutions using higher-order FEM on a multi-element airfoil
(Massachusetts Institute of Technology, 2020)
Higher-order methods in computational fluid dynamics have the potential to provide accurate solutions at lower computational costs than traditional methods. Obtaining accurate flow solutions requires the use of computational ...
Active policy querying for dynamic human-robot collaboration tasks
(Massachusetts Institute of Technology, 2021)
Success in any group task is dependent upon mutual understanding between the collaborators. Team members can use observation to infer their partner's plans, but such an approach carries great uncertainty and requires passive ...
Decentralized resource allocation for synchronized tasks through Adaptive Large Neighborhood Search (ALNS)
(Massachusetts Institute of Technology, 2020)
This thesis explores a method for multiple suppliers to coordinate resource scheduling of task requests from multiple consumers using decentralized planning. A time window is associated with each task and some tasks require ...