Qualitative Planning with Quantitative Constraints for Online Learning of Robotic Behaviours
Authors: Timothy Wiley, Claude Sammut, Ivan Bratko
AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | To evaluate the impact of quantitative constraints, experiments were conducted that compared the performance of the existing qualitative-only planner to the planner extended with quantitative constraints. The experiments were conducted using the step climbing task. |
| Researcher Affiliation | Academia | Timothy Wiley and Claude Sammut School of Computer Science and Engineering University of New South Wales Sydney, NSW 2052, Australia {timothyw,claude}@cse.unsw.edu.au Ivan Bratko Faculty of Computer and Information Science University of Ljubljana Trzaska 25, 1000 Ljubljana, Slovenia bratko@fri.uni-lj.si |
| Pseudocode | No | The paper does not contain any pseudocode or clearly labeled algorithm blocks. |
| Open Source Code | No | The paper mentions a 'Prolog implementation' of the qualitative planner and QSIM, and refers to 'ASPQSIM' as a more efficient implementation (Wiley, Sammut, and Bratko 2014), but it does not explicitly state that the code for the methodology described in this paper is open-source or publicly released. |
| Open Datasets | No | The paper describes a specific application domain (step climbing for the iRobot Negotiator) but does not provide access information (link, DOI, citation) to a publicly available or open dataset used for training. The environment and task are described conceptually. |
| Dataset Splits | No | The paper does not specify exact dataset split percentages, absolute sample counts, or reference predefined splits for training, validation, or testing. |
| Hardware Specification | No | The paper states that 'The performance of the planner is compared by the number of inferences Prolog evaluates to find a plan as it is independent of variations in a specific CPU,' but it does not specify any particular CPU model, GPU, or other hardware used for running the experiments. |
| Software Dependencies | No | The paper mentions 'a Prolog implementation of the qualitative planner, QSIM (Bratko 2011), and A* (Hart, Nilsson, and Raphael 1968),' but it does not provide specific version numbers for Prolog, QSIM, or any other ancillary software components used in the experiments. |
| Experiment Setup | Yes | For each experiment, the robot was initially stationary, on the ground before the step, with the flippers directed toward the step, (posx = 0, hd = 0, v = 0). The experiments are grouped by the variables specified in the goal state. For each goal state, the choice of heuristic and the type of planner (with quantitative constraints optionally enabled) was varied. In the first set of experiments, the step height was set to 10 cm... Finally, for reference a set of experiments was conducted with a step height of 30 cm. |