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ROSframework~10 mins

Velocity smoothing in ROS - Interactive Code Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to initialize the velocity smoothing node in ROS.

ROS
ros::init(argc, argv, [1]);
Drag options to blanks, or click blank then click option'
A"velocity_node"
B"velocity_smoothing_node"
C"smooth_velocity"
D"velocity_control"
Attempts:
3 left
šŸ’” Hint
Common Mistakes
Using a generic node name that does not reflect velocity smoothing.
Forgetting to include quotes around the node name.
2fill in blank
medium

Complete the code to declare a publisher for smoothed velocity commands.

ROS
ros::Publisher vel_pub = nh.advertise<geometry_msgs::Twist>([1], 10);
Drag options to blanks, or click blank then click option'
A"/velocity"
B"/cmd_vel_raw"
C"/cmd_vel_smooth"
D"/cmd_vel"
Attempts:
3 left
šŸ’” Hint
Common Mistakes
Publishing on the raw velocity topic instead of the smoothed one.
Using a topic name that does not match the smoothing purpose.
3fill in blank
hard

Fix the error in the velocity smoothing function signature.

ROS
geometry_msgs::Twist [1](const geometry_msgs::Twist& input_vel) {
Drag options to blanks, or click blank then click option'
AsmoothVelocity
BvelocitySmooth
Csmooth_vel
Dvelocity_smooth
Attempts:
3 left
šŸ’” Hint
Common Mistakes
Using underscores in function names instead of camelCase.
Using variable-like names instead of function names.
4fill in blank
hard

Fill both blanks to complete the velocity smoothing condition and update.

ROS
if (std::abs(input_vel.linear.x - last_vel.linear.x) > [1]) {
    smoothed_vel.linear.x = last_vel.linear.x + [2] * (input_vel.linear.x - last_vel.linear.x);
}
Drag options to blanks, or click blank then click option'
Amax_acceleration
Bsmoothing_factor
Cmax_speed
Ddelta_time
Attempts:
3 left
šŸ’” Hint
Common Mistakes
Using max_speed instead of max_acceleration for the threshold.
Using delta_time instead of smoothing_factor for the update.
5fill in blank
hard

Fill all three blanks to complete the velocity smoothing loop with publishing.

ROS
ros::Rate loop_rate([1]);
while (ros::ok()) {
    ros::spinOnce();
    geometry_msgs::Twist smoothed = [2](current_vel);
    [3].publish(smoothed);
    loop_rate.sleep();
}
Drag options to blanks, or click blank then click option'
A10
BsmoothVelocity
Cvel_pub
D20
Attempts:
3 left
šŸ’” Hint
Common Mistakes
Using too low or too high loop rate values.
Calling a non-existent smoothing function.
Publishing with the wrong publisher variable.

Practice

(1/5)
1. What is the main purpose of velocity smoothing in ROS robot control?
easy
A. To gradually change speed and avoid sudden jumps
B. To increase the maximum speed instantly
C. To stop the robot immediately
D. To ignore acceleration limits

Solution

  1. Step 1: Understand velocity smoothing concept

    Velocity smoothing means changing speed gradually to avoid sudden jumps.
  2. Step 2: Identify the purpose in robot control

    This gradual change improves safety and comfort by preventing abrupt movements.
  3. Final Answer:

    To gradually change speed and avoid sudden jumps -> Option A
  4. Quick Check:

    Velocity smoothing = gradual speed change [OK]
Hint: Velocity smoothing means smooth speed changes, not instant jumps [OK]
Common Mistakes:
  • Thinking velocity smoothing increases speed instantly
  • Confusing smoothing with emergency stop
  • Ignoring acceleration limits in smoothing
2. Which of the following is the correct Python function signature for a velocity smoothing function in ROS?
easy
A. def smooth_velocity(current_vel: float, target_vel: float, max_accel: float):
B. def smooth_velocity(current_vel, target_vel, max_accel):
C. def smooth_velocity(current_vel: int, target_vel: int, max_accel: int, dt: int):
D. def smooth_velocity(current_vel: float, target_vel: float, max_accel: float, dt: float) -> float:

Solution

  1. Step 1: Check function parameters for velocity smoothing

    The function needs current velocity, target velocity, max acceleration, and time delta (dt) to calculate smoothing.
  2. Step 2: Verify correct typing and return type

    Using floats for velocities and acceleration is correct, and the function returns a float for new velocity.
  3. Final Answer:

    def smooth_velocity(current_vel: float, target_vel: float, max_accel: float, dt: float) -> float: -> Option D
  4. Quick Check:

    Correct parameters and types = def smooth_velocity(current_vel: float, target_vel: float, max_accel: float, dt: float) -> float: [OK]
Hint: Include all needed parameters with correct types and return value [OK]
Common Mistakes:
  • Missing dt parameter for time step
  • Using int instead of float for velocities
  • No return type annotation
3. Given the following code snippet for velocity smoothing, what will be the output if current_vel = 1.0, target_vel = 3.0, max_accel = 1.0, and dt = 1.0?
def smooth_velocity(current_vel, target_vel, max_accel, dt):
    max_change = max_accel * dt
    delta = target_vel - current_vel
    if abs(delta) > max_change:
        delta = max_change if delta > 0 else -max_change
    return current_vel + delta

print(smooth_velocity(1.0, 3.0, 1.0, 1.0))
medium
A. 2.0
B. 3.0
C. 1.0
D. 4.0

Solution

  1. Step 1: Calculate maximum allowed velocity change

    max_change = max_accel * dt = 1.0 * 1.0 = 1.0
  2. Step 2: Calculate delta and limit it

    delta = target_vel - current_vel = 3.0 - 1.0 = 2.0, which is greater than max_change, so delta is limited to 1.0
  3. Step 3: Calculate new velocity

    new velocity = current_vel + delta = 1.0 + 1.0 = 2.0
  4. Final Answer:

    2.0 -> Option A
  5. Quick Check:

    Velocity change limited by max_accel * dt = 2.0 [OK]
Hint: Limit velocity change by max_accel * dt before adding [OK]
Common Mistakes:
  • Adding full delta without limiting by max_change
  • Returning target_vel directly
  • Ignoring sign of delta
4. Identify the bug in this velocity smoothing function and choose the correct fix:
def smooth_velocity(current_vel, target_vel, max_accel, dt):
    max_change = max_accel * dt
    delta = target_vel - current_vel
    if delta > max_change:
        delta = max_change
    elif delta < max_change:
        delta = -max_change
    return current_vel + delta
medium
A. Change max_change to max_accel / dt
B. Remove the if-else and always set delta = max_change
C. Change 'elif delta < max_change' to 'elif delta < -max_change'
D. Add abs() around delta in the if condition

Solution

  1. Step 1: Analyze the conditions for limiting delta

    The function limits delta if it exceeds max_change positively or negatively.
  2. Step 2: Identify incorrect condition

    The condition 'elif delta < max_change' is wrong because it triggers for any delta less than max_change, including values that don't need limiting. It should check if delta is less than negative max_change.
  3. Step 3: Correct the condition

    Change 'elif delta < max_change' to 'elif delta < -max_change' to correctly limit negative large changes.
  4. Final Answer:

    Change 'elif delta < max_change' to 'elif delta < -max_change' -> Option C
  5. Quick Check:

    Negative delta limit needs correct comparison [OK]
Hint: Check negative limit uses -max_change, not max_change [OK]
Common Mistakes:
  • Using max_change instead of -max_change for negative check
  • Removing conditions and causing wrong velocity jumps
  • Incorrect calculation of max_change
5. You want to implement velocity smoothing for a robot that receives a list of target velocities every second: [0, 2, 5, 3, 0]. The robot's max acceleration is 1.5 m/s² and the time step is 1 second. Which sequence of smoothed velocities will correctly apply velocity smoothing starting from 0 m/s?
hard
A. [0, 1.5, 3.0, 4.5, 3.0]
B. [0, 1.5, 3.0, 3.0, 1.5]
C. [0, 1.5, 2.5, 3.0, 1.5]
D. [0, 2, 5, 3, 0]

Solution

  1. Step 1: Calculate smoothed velocities step-by-step

    Start at 0 m/s. Max change per step = 1.5 m/s. - Step 1: target 0 -> 0 (start) - Step 2: target 2, delta=2-0=2 >1.5, so velocity=0+1.5=1.5 - Step 3: target 5, delta=5-1.5=3.5 >1.5, velocity=1.5+1.5=3.0 - Step 4: target 3, delta=3-3=0 ≤1.5, velocity=3.0 - Step 5: target 0, delta=0-3=-3 < -1.5, velocity=3.0-1.5=1.5
  2. Step 2: Compare with options

    The sequence [0, 1.5, 3.0, 3.0, 1.5] matches the calculated sequence.
  3. Final Answer:

    [0, 1.5, 3.0, 3.0, 1.5] -> Option B
  4. Quick Check:

    Apply max_accel limit each step = [0, 1.5, 3.0, 3.0, 1.5] [OK]
Hint: Apply max acceleration limit stepwise to each velocity [OK]
Common Mistakes:
  • Using target velocities directly without smoothing
  • Adding max_accel multiple times incorrectly
  • Ignoring negative acceleration limits