A Demonstration of Interactive Task Learning

Authors: James Kirk, Aaron Mininger, John Laird

IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental We will demonstrate a tabletop robotic agent that learns new tasks through interactive natural language instruction. The tasks to be demonstrated are simple puzzles and games, such as Tower of Hanoi, Eight Puzzle, Tic-Tac-Toe, Three Men s Morris, and the Frog and Toads puzzle. ... As a result, the efficiency of Rosie s task reasoning using learned knowledge (such as when it is searching for a solution to a problem) is comparable to hand-coded knowledge. ... Once the goal is found (in 1 second), Rosie executes the plan using the robot arm.
Researcher Affiliation Academia James Kirk, Aaron Mininger, and John Laird Division of Computer Science and Engineering University of Michigan, Ann Arbor, Michigan, USA {jrkirk, mininger, laird}@umich.edu
Pseudocode No The paper does not contain any structured pseudocode or algorithm blocks.
Open Source Code No The paper does not provide any explicit statement or link regarding the release of open-source code for the described methodology.
Open Datasets No The paper describes the tasks (e.g., Tower of Hanoi, Tic-Tac-Toe) but does not refer to them as publicly available datasets with concrete access information (link, DOI, formal citation).
Dataset Splits No The paper describes interactive task learning and does not mention explicit training, validation, or test dataset splits.
Hardware Specification No The paper mentions 'a small robot arm and a Kinect sensor' and refers to a 'tabletop robot' and 'mobile robot' but does not provide specific CPU/GPU models or detailed hardware specifications for the experimental setup.
Software Dependencies No The paper mentions the Soar cognitive architecture and the Rosie system but does not provide specific version numbers for any software dependencies or libraries.
Experiment Setup No The paper describes the interactive learning process and the system's capabilities but does not provide specific experimental setup details such as hyperparameters or training configurations.