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Filtering by: Creator Billman, Eric J. Advisor Tumer, Kagan Committee Member Tadepalli, Prasad

Multiagent learning for locomotion and coordination in tensegrity robotics

Creator:

Iscen, Atil

Abstract:

Tensegrity structures are composed of pure compressional elements that are connected via a network of pure tensional elements. The concept of tensegrity promises numerous advantages to the field of robotics. Tensegrity robots are, however, notoriously difficult to control due to their oscillatory nature and nonlinear interaction between the components. Multiagent...

Resource Type:

Dissertation

Full Text:

reward function. We take a snapshot of the environment (z), feed the reward function with z and z−j
Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping

Creator:

Curran, William

Abstract:

Air traffic flow management over the U.S. airpsace is a difficult problem. Current management approaches lead to hundreds of thousands of hours of delay, costing billions of dollars annually. Weather and airport conditions may instigate this delay, but routing decisions balancing delay with congestion contribute significantly to the propagation of...

Resource Type:

Masters Thesis

Full Text:

is set to 0. SIM(dn, di) and SIM(i, m, j) are functions computing the similarity between clus
Learning-based Control of Experimental Hybrid Fuel Cell Power Plant

Creator:

Gabler, Andrew

Abstract:

Direct red Solid Oxide Fuel Cell (SOFC) Turbine hybrid plants have the potential to dramatically increase power plant efficiency, decrease emissions, and provide fast response to transient loads. The US Department of Energy's (DOE) Hybrid Performance Project is an experimental hybrid SOFC plant, built at the National Energy Technology Laboratory...

Resource Type:

Masters Thesis

Full Text:

weight of a network is given by: ∆wij = −α ∂E ∂wij = −αδjxi + η∆wt−1ij (2.3) δj =  (outputj