y2018/control_loops/superstructure/arm/arm.cc

#include "y2018/control_loops/superstructure/arm/arm.h"

#include <chrono>
#include <iostream>

#include "aos/common/logging/logging.h"
#include "aos/common/logging/queue_logging.h"
#include "y2018/constants.h"
#include "y2018/control_loops/superstructure/arm/demo_path.h"
#include "y2018/control_loops/superstructure/arm/dynamics.h"
#include "y2018/control_loops/superstructure/arm/generated_graph.h"

namespace y2018 {
namespace control_loops {
namespace superstructure {
namespace arm {

namespace chrono = ::std::chrono;
using ::aos::monotonic_clock;

Arm::Arm()
    : proximal_zeroing_estimator_(constants::GetValues().arm_proximal.zeroing),
      distal_zeroing_estimator_(constants::GetValues().arm_distal.zeroing),
      alpha_unitizer_((::Eigen::Matrix<double, 2, 2>() << 1.0 / kAlpha0Max(),
                       0.0, 0.0, 1.0 / kAlpha1Max())
                          .finished()),
      search_graph_(MakeSearchGraph(&trajectories_, alpha_unitizer_, kVMax())),
      // Go to the start of the first trajectory.
      follower_(ReadyAboveBoxPoint()) {
  int i = 0;
  for (const auto &trajectory : trajectories_) {
    LOG(INFO, "trajectory length for edge node %d: %f\n", i,
        trajectory.path().length());
    ++i;
  }
}

void Arm::Reset() { state_ = State::UNINITIALIZED; }

void Arm::Iterate(const uint32_t *unsafe_goal, bool grab_box, bool open_claw,
                  const control_loops::ArmPosition *position,
                  const bool claw_beambreak_triggered,
                  const bool box_back_beambreak_triggered,
                  const bool intake_clear_of_box, double *proximal_output,
                  double *distal_output, bool *release_arm_brake,
                  bool *claw_closed, control_loops::ArmStatus *status) {
  ::Eigen::Matrix<double, 2, 1> Y;
  const bool outputs_disabled =
      ((proximal_output == nullptr) || (distal_output == nullptr) ||
       (release_arm_brake == nullptr) || (claw_closed == nullptr));

  uint32_t filtered_goal = 0;
  if (unsafe_goal != nullptr) {
    filtered_goal = *unsafe_goal;
  }

  if (open_claw) {
    claw_closed_ = false;
  }
  if (outputs_disabled) {
    claw_closed_ = true;
  }

  Y << position->proximal.encoder + proximal_offset_,
      position->distal.encoder + distal_offset_;

  proximal_zeroing_estimator_.UpdateEstimate(position->proximal);
  distal_zeroing_estimator_.UpdateEstimate(position->distal);

  if (proximal_output != nullptr) {
    *proximal_output = 0.0;
  }
  if (distal_output != nullptr) {
    *distal_output = 0.0;
  }

  arm_ekf_.Correct(Y, kDt());

  if (::std::abs(arm_ekf_.X_hat(0) - follower_.theta(0)) <= 0.05 &&
      ::std::abs(arm_ekf_.X_hat(2) - follower_.theta(1)) <= 0.05) {
    close_enough_for_full_power_ = true;
  }
  if (::std::abs(arm_ekf_.X_hat(0) - follower_.theta(0)) >= 1.10 ||
      ::std::abs(arm_ekf_.X_hat(2) - follower_.theta(1)) >= 1.10) {
    close_enough_for_full_power_ = false;
  }

  switch (state_) {
    case State::UNINITIALIZED:
      // Wait in the uninitialized state until the intake is initialized.
      LOG(DEBUG, "Uninitialized, waiting for intake\n");
      state_ = State::ZEROING;
      proximal_zeroing_estimator_.Reset();
      distal_zeroing_estimator_.Reset();
      break;

    case State::ZEROING:
      // Zero by not moving.
      if (proximal_zeroing_estimator_.zeroed() &&
          distal_zeroing_estimator_.zeroed()) {
        state_ = State::DISABLED;

        proximal_offset_ = proximal_zeroing_estimator_.offset();
        distal_offset_ = distal_zeroing_estimator_.offset();

        Y << position->proximal.encoder + proximal_offset_,
            position->distal.encoder + distal_offset_;

        // TODO(austin): Offset ekf rather than reset it.  Since we aren't
        // moving at this point, it's pretty safe to do this.
        ::Eigen::Matrix<double, 4, 1> X;
        X << Y(0), 0.0, Y(1), 0.0;
        arm_ekf_.Reset(X);
      } else {
        break;
      }

    case State::DISABLED:
      if (!outputs_disabled) {
        follower_.SwitchTrajectory(nullptr);
        close_enough_for_full_power_ = false;
        // TODO(austin): Nearest point at the end of Initialize.
        // So, get a vector of all the points, loop through them, and find the
        // closest one.
        follower_.set_theta(ReadyAboveBoxPoint());
        current_node_ = ReadyAboveBoxIndex();

        state_ = State::GOTO_PATH;
      } else {
        break;
      }

    case State::GOTO_PATH:
      if (outputs_disabled) {
        state_ = State::DISABLED;
      } else if (close_enough_for_full_power_) {
        state_ = State::RUNNING;
        grab_state_ = GrabState::NORMAL;
      }
      break;

    case State::RUNNING:
      // ESTOP if we hit the hard limits.
      // TODO(austin): Pick some sane limits.
      if (proximal_zeroing_estimator_.error() ||
          distal_zeroing_estimator_.error()) {
        LOG(ERROR, "Zeroing error ESTOP\n");
        state_ = State::ESTOP;
      } else if (outputs_disabled) {
        state_ = State::DISABLED;
      }
      break;

    case State::ESTOP:
      LOG(ERROR, "Estop\n");
      break;
  }

  const bool disable = outputs_disabled ||
                       (state_ != State::RUNNING && state_ != State::GOTO_PATH);
  if (disable) {
    close_enough_for_full_power_ = false;
  }

  if (claw_closed_) {
    if ((filtered_goal == ReadyAboveBoxIndex()) ||
        (filtered_goal == TallBoxGrabIndex()) ||
        (filtered_goal == ShortBoxGrabIndex())) {
      filtered_goal = NeutralIndex();
    }
  }

  // TODO(austin): Do we need to debounce box_back_beambreak_triggered ?
  switch (grab_state_) {
    case GrabState::NORMAL:
      if (grab_box && !claw_closed_) {
        grab_state_ = GrabState::WAIT_FOR_BOX;
      } else {
        break;
      }
    case GrabState::WAIT_FOR_BOX:
      if (!grab_box) {
        grab_state_ = GrabState::NORMAL;
      } else {
        if (AtState(ReadyAboveBoxIndex()) && NearEnd()) {
          // We are being asked to grab the box, and the claw is near the box.
          if (box_back_beambreak_triggered) {
            // And we now see the box!  Try for a tall box.
            grab_state_ = GrabState::TALL_BOX;
          }
        }
      }
      break;
    case GrabState::TALL_BOX:
      if (!grab_box) {
        grab_state_ = GrabState::NORMAL;
      } else if (!box_back_beambreak_triggered) {
        // Lost the box, go back to wait for it.
        grab_state_ = GrabState::WAIT_FOR_BOX;
      } else if (AtState(TallBoxGrabIndex()) && NearEnd()) {
        // We are being asked to grab the box, and the claw is near the box.
        if (claw_beambreak_triggered) {
          grab_state_ = GrabState::CLAW_CLOSE;
          // Snap time for the delay here.
          claw_close_start_time_ = ::aos::monotonic_clock::now();
        } else {
          grab_state_ = GrabState::SHORT_BOX;
        }
      }
      break;
    case GrabState::SHORT_BOX:
      if (!grab_box) {
        grab_state_ = GrabState::NORMAL;
      } else if (!box_back_beambreak_triggered) {
        // Lost the box, go back to wait for it.
        grab_state_ = GrabState::WAIT_FOR_BOX;
      } else if (AtState(ShortBoxGrabIndex()) && NearEnd()) {
        // We are being asked to grab the box, and the claw is near the box.
        if (claw_beambreak_triggered) {
          grab_state_ = GrabState::CLAW_CLOSE;
          // Snap time for the delay here.
          claw_close_start_time_ = ::aos::monotonic_clock::now();
        } else {
          grab_state_ = GrabState::WAIT_FOR_BOX;
        }
      }
      break;
    case GrabState::CLAW_CLOSE:
      if (::aos::monotonic_clock::now() >
          claw_close_start_time_ + ::std::chrono::milliseconds(500)) {
        grab_state_ = GrabState::OPEN_INTAKE;
      }
      break;
    case GrabState::OPEN_INTAKE:
      if (intake_clear_of_box) {
        grab_state_ = GrabState::NORMAL;
      }
      break;
  }

  // Now, based out our current state, go to the right state.
  switch (grab_state_) {
    case GrabState::NORMAL:
      // Don't let the intake close fully with the claw closed.
      // TODO(austin): If we want to transfer the box from the claw to the
      // intake, we'll need to change this.
      if (claw_closed_) {
        max_intake_override_ = -0.5;
      } else {
        max_intake_override_ = 1000.0;
      }
      break;
    case GrabState::WAIT_FOR_BOX:
      filtered_goal = ReadyAboveBoxIndex();
      claw_closed_ = false;
      max_intake_override_ = 1000.0;
      break;
    case GrabState::TALL_BOX:
      filtered_goal = TallBoxGrabIndex();
      claw_closed_ = false;
      max_intake_override_ = 1000.0;
      break;
    case GrabState::SHORT_BOX:
      filtered_goal = ShortBoxGrabIndex();
      claw_closed_ = false;
      max_intake_override_ = 1000.0;
      break;
    case GrabState::CLAW_CLOSE:
      // Don't move.
      filtered_goal = current_node_;
      claw_closed_ = true;
      max_intake_override_ = 1000.0;
      break;
    case GrabState::OPEN_INTAKE:
      // Don't move.
      filtered_goal = current_node_;
      claw_closed_ = true;
      max_intake_override_ = -0.5;
      break;
  }

  if (state_ == State::RUNNING && unsafe_goal != nullptr) {
    if (current_node_ != filtered_goal) {
      LOG(INFO, "Goal is different\n");
      if (filtered_goal >= search_graph_.num_vertexes()) {
        LOG(ERROR, "goal node out of range ESTOP\n");
        state_ = State::ESTOP;
      } else if (follower_.path_distance_to_go() > 1e-3) {
        // Still on the old path segment.  Can't change yet.
      } else {
        search_graph_.SetGoal(filtered_goal);

        size_t min_edge = 0;
        double min_cost = ::std::numeric_limits<double>::infinity();
        for (const SearchGraph::HalfEdge &edge :
             search_graph_.Neighbors(current_node_)) {
          const double cost = search_graph_.GetCostToGoal(edge.dest);
          if (cost < min_cost) {
            min_edge = edge.edge_id;
            min_cost = cost;
          }
        }
        // Ok, now we know which edge we are on.  Figure out the path and
        // trajectory.
        const SearchGraph::Edge &next_edge = search_graph_.edges()[min_edge];
        LOG(INFO, "Switching from node %d to %d along edge %d\n",
            static_cast<int>(current_node_), static_cast<int>(next_edge.end),
            static_cast<int>(min_edge));
        follower_.SwitchTrajectory(&trajectories_[min_edge]);
        current_node_ = next_edge.end;
      }
    }
  }

  follower_.Update(
      arm_ekf_.X_hat(), disable, kDt(), kVMax(),
      close_enough_for_full_power_ ? kOperatingVoltage() : kPathlessVMax());
  LOG(INFO, "Max voltage: %f\n",
      close_enough_for_full_power_ ? kOperatingVoltage() : kPathlessVMax());
  status->goal_theta0 = follower_.theta(0);
  status->goal_theta1 = follower_.theta(1);
  status->goal_omega0 = follower_.omega(0);
  status->goal_omega1 = follower_.omega(1);

  status->theta0 = arm_ekf_.X_hat(0);
  status->theta1 = arm_ekf_.X_hat(2);
  status->omega0 = arm_ekf_.X_hat(1);
  status->omega1 = arm_ekf_.X_hat(3);
  status->voltage_error0 = arm_ekf_.X_hat(4);
  status->voltage_error1 = arm_ekf_.X_hat(5);

  if (!disable) {
    *proximal_output = ::std::max(
        -kOperatingVoltage(), ::std::min(kOperatingVoltage(), follower_.U(0)));
    *distal_output = ::std::max(
        -kOperatingVoltage(), ::std::min(kOperatingVoltage(), follower_.U(1)));
    *release_arm_brake = true;
    *claw_closed = claw_closed_;
  }

  status->proximal_estimator_state =
      proximal_zeroing_estimator_.GetEstimatorState();
  status->distal_estimator_state =
      distal_zeroing_estimator_.GetEstimatorState();

  status->path_distance_to_go = follower_.path_distance_to_go();
  status->current_node = current_node_;

  status->zeroed = (proximal_zeroing_estimator_.zeroed() &&
                    distal_zeroing_estimator_.zeroed());
  status->estopped = (state_ == State::ESTOP);
  status->state = static_cast<int32_t>(state_);
  status->grab_state = static_cast<int32_t>(grab_state_);
  status->failed_solutions = follower_.failed_solutions();

  arm_ekf_.Predict(follower_.U(), kDt());
}

}  // namespace arm
}  // namespace superstructure
}  // namespace control_loops
}  // namespace y2018