TY - GEN
T1 - Solving 3D mazes with machine learning and humanoid robots
AU - Nath, Vishnu K.
AU - Levinson, Stephen E.
N1 - Publisher Copyright:
© Copyright 2014, Association for the Advancement of Artificial Intelligence (www.aaia.org). All rights reserved.
PY - 2014
Y1 - 2014
N2 - In this paper, we present a system that integrates computer vision with machine learning to enable a humanoid robot to accurately solve any 3 dimensional maze that has not been previously given to it. The robot can construct the optimum path policy based on previous iterations and does not require any specialized programming. The experimental setup includes a constructed 3D maze with a start and end point. The robot solves the maze using a red-colored ball. The robot can physically tilt the base of the maze with its hand so that the ball can roll into the desired region. The robot would begin tilting the maze only if a path exists between the start and the end point. If none exists, the robot would remain idle. This work is important and novel for a couple of reasons. The first is to determine if constant repetition of a task leads to gradually increasing performance and eventual mastery of a skill.
AB - In this paper, we present a system that integrates computer vision with machine learning to enable a humanoid robot to accurately solve any 3 dimensional maze that has not been previously given to it. The robot can construct the optimum path policy based on previous iterations and does not require any specialized programming. The experimental setup includes a constructed 3D maze with a start and end point. The robot solves the maze using a red-colored ball. The robot can physically tilt the base of the maze with its hand so that the ball can roll into the desired region. The robot would begin tilting the maze only if a path exists between the start and the end point. If none exists, the robot would remain idle. This work is important and novel for a couple of reasons. The first is to determine if constant repetition of a task leads to gradually increasing performance and eventual mastery of a skill.
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M3 - Conference contribution
AN - SCOPUS:84974824342
T3 - AAAI Workshop - Technical Report
SP - 20
EP - 26
BT - Machine Learning for Interactive Systems
PB - AI Access Foundation
T2 - 28th AAAI Conference on Artificial Intelligence, AAAI 2014
Y2 - 28 July 2014
ER -