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Filtering by: Advisor Fern, Alan Resource Type Honors College Thesis

Solving Physical Reasoning Tasks in Simulated Environments

Creator:

Shureih, Zeyad

Abstract:

We take for granted how quickly we, as humans, form mental models of the world around us. By the time we are toddlers, we have an observable intuition around the physical rules of the world. Stacking blocks such that they don’t fall over becomes such a trivial task, that it...

Resource Type:

Honors College Thesis

Full Text:

: ____________________________________________________ Alan Fern Key Words: machine common sense, computer vision, physical reasoning, physics engines
Recurrent Neural Networks for Robotic Control of a Human-Scale Bipedal Robot

Creator:

Siekmann, Jonah A.

Abstract:

Dynamic bipedal locomotion is among the most difficult and yet relevant problems in modern robotics. While a multitude of classical control methods for bipedal locomotion exist, they are often brittle or limited in capability. In recent years, work in applying reinforcement learning to robotics has lead to superior performance across...

Resource Type:

Honors College Thesis

Full Text:

Bipedal Robot Abstract approved: Alan Fern Dynamic bipedal locomotion is among the most difficult and
Automatically Generating Solutions for Sokoban Maps

Creator:

Greco, Jason Aaron

Abstract:

Generating solutions to Sokoban levels is an NP-hard problem that is difficult for even modern day computers to solve due to its complexity. This project explores the creation of a Sokoban solver by eliminating as many potential moves as possible to greatly limit the overall search space. This reduction is...

Resource Type:

Honors College Thesis

Full Text:

: ______________________________________________________ Alan Fern Generating solutions to Sokoban levels is an NP-hard problem that is