Search
Now showing items 1-10 of 183
Task-driven navigation and mapping with resource constraints
(Massachusetts Institute of Technology, 2016)
Breakthroughs in sensing technology in the past decade have greatly improved the capability of robots to sense complicated, partially-known environments. For example, RGB-D cameras and Velodyne scanners allow for the ...
Multiagent planning and learning using random decompositions and adaptive representations
(Massachusetts Institute of Technology, 2015)
Multiagent planning problems are ubiquitous in engineering. Applications range from control of robotic missions and manufacturing processes to resource allocation and traffic monitoring problems. A common theme in all of ...
An adjoint-based optimization method using the solution of gray-box conservation laws
(Massachusetts Institute of Technology, 2017)
Many design applications can be formulated as an optimization constrained by conservation laws. Such optimization can be efficiently solved by the adjoint method, which computes the gradient of the objective to the design ...
Support of latency-sensitive space exploration applications in future space communication systems
(Massachusetts Institute of Technology, 2017)
Latency, understood as the total time it takes for data acquired by a remote platform (e.g. satellite, rover, astronaut) to be delivered to the final user in an actionable format, is a primary requirement for several near ...
Understanding the effect of cognitive reference frames on unmanned aircraft operations
(Massachusetts Institute of Technology, 2016)
As an ever-greater share of our national military airborne resources transition from manned to unmanned aircraft (UA) the issues associated with unmanned aircraft operations become more and more important. This study seeks ...
Human perception and control of vehicle roll tilt in hyper-gravity
(Massachusetts Institute of Technology, 2013)
Pilots and astronauts experience a range of altered gravity environments in which they must maintain accurate perception and control of vehicle orientation for tasks such as landing and docking. To study sensorimotor ...
Bayesian nonparametric reward learning from demonstration
(Massachusetts Institute of Technology, 2013)
Learning from demonstration provides an attractive solution to the problem of teaching autonomous systems how to perform complex tasks. Demonstration opens autonomy development to non-experts and is an intuitive means of ...
Aviation environmental policy and issues of timescale
(Massachusetts Institute of Technology, 2015)
Every operational, technological, and policy decision affecting aviation represents a potential tradeoff among economic efficiency and impacts to climate, air quality, and community noise. Furthermore, effects in these ...
Towards concept generation and performance-complexity tradespace exploration of engineering systems using convex hulls
(Massachusetts Institute of Technology, 2017)
This thesis examines tradeoffs between performance and complexity in the context of future aircraft engine architectures and a reconfigurable mobile device. Traditionally aircraft/engine system architecture selection has ...
Improving nanosatellite capabilities for atmospheric sounding and characterization
(Massachusetts Institute of Technology, 2016)
Measurements of atmospheric temperature, pressure, water vapor, and composition are important to users in the Earth science, defense, and intelligence communities. Nanosatellites (with mass < 10 kg, such as CubeSats) can ...