MNE 6130代做、代写MatLab设计编程

日期：2024-04-11 08:44

MNE 6130 Modern Robotics

Assignment Project

Part II (80%)

Aims: To gain the practical knowledge and hand-on experiences in topics related

robot vision and manipulators; to practise programming on software platforms for

robotics.

Topic:

Robotic tracking with vision

Tasks:

T1: System setup: a), camera calibration; b), Associating the real camera with virtual

robot.

T2: Position based robotic tracking: with fixed camera, a) detect the target object from

multiple objects, b) track the target position, c) feedback the position to the virtual

robot and track the target.

T3 Feature based robotic tracking: via interaction matrix (image Jacobian) to compute

the control command for the virtual robot, for reaching a square shaped planar target

(hint: design your own desired features. e.g. to include the 4 corners of the square and

make it parallel with the camera image plane).

Robot to use for the tasks:

PUMA 560 robot.

Time lines:

Week 9-11: prepare and design;

Week 12: complete;

Week 13: presentation and reporting.

Reporting: Each needs to submit a written report by the presentation time.

Expectations:

1. Good-Excellent: be able to program with satisfactory results and to

apply the theory with theoretical explanations;

2. Pass: understand the theory, be able to program;

3. Fail: unable to program or show your understanding of the theory.

Software to be used: MatLab (available in CSC, and MNE Lab).

MNE 6130 Modern Robotics

Assignment Project

Part I (20%)

Aims: To gain the practical knowledge and hand-on experiences in topics related

robot manipulators; to practise programming on software platforms for robotics.

Topic:

Pick and Place by robot manipulators.

Tasks:

T1: Move the robot end-effector via the specified 4 points (in 3D space):

(X2,Y2,Z2) (X3,Y3,Z3)

(X1,Y1,Z1) (X4,Y4,Z4)

T2: Plot the end-effector trajectory and joint trajectories for each joint of the robot for

the motion in T1

T3 (optional): Find the Jacobina matrix J at each of the 4 points in T1 and comment

on the manipulability of the robot at different positions.

Robots for the tasks:

1, PUMA 560 robot, and

2, Your own designed robot manipulator.

Time lines:

Week 5: prepare and design;

Week 6: complete;

Week 7: presentation and reporting.

Reporting: Each needs to submit a written report by the presentation time.

Expectations:

4. Good-Excellent: be able to program with satisfactory results and to

apply the theory with theoretical explanations;

5. Pass: understand the theory, be able to program;

6. Fail: unable to program or show your understanding of the theory.

Software to be used: MatLab (available in CSC, and MNE Lab).