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Fixing #4661: MPPI ackermann reversing taking incorrect sign sometimes (
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#4664)

* Fixing #4661: MPPI ackermann reversing taking incorrect sign sometimes

Signed-off-by: Steve Macenski <[email protected]>

* fixing unit test for type implicit cast

Signed-off-by: Steve Macenski <[email protected]>

---------

Signed-off-by: Steve Macenski <[email protected]>
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SteveMacenski authored Sep 10, 2024
1 parent 3ab6312 commit 7eb47d8
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Showing 2 changed files with 80 additions and 2 deletions.
Original file line number Diff line number Diff line change
Expand Up @@ -164,8 +164,8 @@ class AckermannMotionModel : public MotionModel
auto & vx = control_sequence.vx;
auto & wz = control_sequence.wz;

auto view = xt::masked_view(wz, xt::fabs(vx) / xt::fabs(wz) < min_turning_r_);
view = xt::sign(wz) * vx / min_turning_r_;
auto view = xt::masked_view(wz, (xt::fabs(vx) / xt::fabs(wz)) < min_turning_r_);
view = xt::sign(wz) * xt::fabs(vx) / min_turning_r_;
}

/**
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78 changes: 78 additions & 0 deletions nav2_mppi_controller/test/motion_model_tests.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -164,6 +164,9 @@ TEST(MotionModelTests, AckermannTest)
// VX equal since this doesn't change, the WZ is reduced if breaking the constraint
EXPECT_EQ(initial_control_sequence.vx, control_sequence.vx);
EXPECT_NE(initial_control_sequence.wz, control_sequence.wz);
for (unsigned int i = 1; i != control_sequence.wz.shape(0); i++) {
EXPECT_GT(control_sequence.wz(i), 0.0);
}

// Now, check the specifics of the minimum curvature constraint
EXPECT_NEAR(model->getMinTurningRadius(), 0.2, 1e-6);
Expand All @@ -177,3 +180,78 @@ TEST(MotionModelTests, AckermannTest)
// Check it cleanly destructs
model.reset();
}

TEST(MotionModelTests, AckermannReversingTest)
{
models::ControlSequence control_sequence;
models::ControlSequence control_sequence2;
models::State state;
int batches = 1000;
int timesteps = 50;
control_sequence.reset(timesteps); // populates with zeros
control_sequence2.reset(timesteps); // populates with zeros
state.reset(batches, timesteps); // populates with zeros
auto node = std::make_shared<rclcpp_lifecycle::LifecycleNode>("my_node");
ParametersHandler param_handler(node);
std::unique_ptr<AckermannMotionModel> model =
std::make_unique<AckermannMotionModel>(&param_handler, node->get_name());

// Check that predict properly populates the trajectory velocities with the control velocities
state.cvx = 10 * xt::ones<float>({batches, timesteps});
state.cvy = 5 * xt::ones<float>({batches, timesteps});
state.cwz = 1 * xt::ones<float>({batches, timesteps});

// Manually set state index 0 from initial conditions which would be the speed of the robot
xt::view(state.vx, xt::all(), 0) = 10;
xt::view(state.wz, xt::all(), 0) = 1;

model->predict(state);

EXPECT_EQ(state.vx, state.cvx);
EXPECT_EQ(state.vy, xt::zeros<float>({batches, timesteps})); // non-holonomic
EXPECT_EQ(state.wz, state.cwz);

// Check that application of constraints are non-empty for Ackermann Drive
for (unsigned int i = 0; i != control_sequence.vx.shape(0); i++) {
float idx = static_cast<float>(i);
control_sequence.vx(i) = -idx * idx * idx; // now reversing
control_sequence.wz(i) = idx * idx * idx * idx;
}

models::ControlSequence initial_control_sequence = control_sequence;
model->applyConstraints(control_sequence);
// VX equal since this doesn't change, the WZ is reduced if breaking the constraint
EXPECT_EQ(initial_control_sequence.vx, control_sequence.vx);
EXPECT_NE(initial_control_sequence.wz, control_sequence.wz);
for (unsigned int i = 1; i != control_sequence.wz.shape(0); i++) {
EXPECT_GT(control_sequence.wz(i), 0.0);
}

// Repeat with negative rotation direction
for (unsigned int i = 0; i != control_sequence2.vx.shape(0); i++) {
float idx = static_cast<float>(i);
control_sequence2.vx(i) = -idx * idx * idx; // now reversing
control_sequence2.wz(i) = -idx * idx * idx * idx;
}

models::ControlSequence initial_control_sequence2 = control_sequence2;
model->applyConstraints(control_sequence2);
// VX equal since this doesn't change, the WZ is reduced if breaking the constraint
EXPECT_EQ(initial_control_sequence2.vx, control_sequence2.vx);
EXPECT_NE(initial_control_sequence2.wz, control_sequence2.wz);
for (unsigned int i = 1; i != control_sequence2.wz.shape(0); i++) {
EXPECT_LT(control_sequence2.wz(i), 0.0);
}

// Now, check the specifics of the minimum curvature constraint
EXPECT_NEAR(model->getMinTurningRadius(), 0.2, 1e-6);
for (unsigned int i = 1; i != control_sequence2.vx.shape(0); i++) {
EXPECT_TRUE(fabs(control_sequence2.vx(i)) / fabs(control_sequence2.wz(i)) >= 0.2);
}

// Check that Ackermann Drive is properly non-holonomic and parameterized
EXPECT_EQ(model->isHolonomic(), false);

// Check it cleanly destructs
model.reset();
}

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