代做COM1005 Robotics & Layered Control Architectures代写留学生Matlab语言

日期：2025-01-18 05:07

COM1005 Machines and Intelligence

Weeks 10-11 Lab Question Sheet

Robotics & Layered Control Architectures

Instructions

Complete your copy of the lab question sheet, as instructed below.

Download the completed file as a .docx file and rename it to ‘layered_control_lab.docx’ before submitting.

Base model

Implement the base layered control model (Elowen), according to the given specifications.

Adjust the tumble rate to match the ‘one tumble every 5 seconds’ rule, depending on how quickly the periodic control loop runs on your machine.

Perform. a series of trials with Elowen in the phototaxis world, where you let her run in the environment and record the number of steps it took her to run out of energy. For each run, record how many boosters were consumed and how many tumbles were made.

In the event of Elowen falling down on the floor, all the trial data should be discarded, as this indicates a problem with the ‘safety’ layer (which should be further improved).

Elowen: Base Data

Run #	1	2	3	4	5	6	7	8	9	10
Steps
Boosters
Tumbles

Elowen: Statistics

# of trials	Steps: Min	Steps: Max	Steps: Median	Steps: Mean	Steps: St. Dev.
10

Modified model

In the L4 ‘Tumble’ layer of Elowen’s base model, the tumble frequency is fixed and the tumble angle probability distribution is uniform.

Implement, describe and evidence a more complex implementation of this layer, which would increase Elowen’s step count, on average, before she runs out of energy in the given environment.

(For example, you can use the tumble frequency as a function of the surrounding brightness; and/or you can introduce a more complex probability distribution for tumble angles).

Your final MiRoCODE program should support running both models. You can use the ‘modified’ boolean variable provided in the template as a toggle to select which model to run.

Answer individually and in your own words. Use of GenAI tools is NOT allowed. Answer in no more than 200 words. Be specific and include formulas.  Provide figures, tables and/or screenshots if necessary. You can use the steps and tumbles as two useful metrics when comparing the base model to the modified model.