mirror of https://github.com/fan-ziqi/rl_sar.git
feat: add CSV_LOGGER && format
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e79596c1f1
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@ -3,6 +3,7 @@
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#define ROBOT_NAME "a1"
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// #define PLOT
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#define CSV_LOGGER
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RL_Real rl_sar;
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@ -23,9 +24,9 @@ RL_Real::RL_Real() : safe(LeggedType::A1), udp(LOWLEVEL)
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this->vq = torch::jit::load(vq_path);
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this->InitObservations();
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this->InitOutputs();
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this->history_obs_buf = ObservationBuffer(1, this->params.num_observations, 6);
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plot_real_joint_pos.resize(12);
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plot_target_joint_pos.resize(12);
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@ -37,11 +38,15 @@ RL_Real::RL_Real() : safe(LeggedType::A1), udp(LOWLEVEL)
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loop_udpSend->start();
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loop_udpRecv->start();
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loop_control->start();
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#ifdef PLOT
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loop_plot = std::make_shared<LoopFunc>("loop_plot" , 0.002, boost::bind(&RL_Real::Plot, this));
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loop_plot->start();
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#endif
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#ifdef CSV_LOGGER
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CSVInit(ROBOT_NAME);
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#endif
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}
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RL_Real::~RL_Real()
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@ -97,7 +102,7 @@ void RL_Real::RobotControl()
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cmd.motorCmd[i].Kd = 3;
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cmd.motorCmd[i].tau = 0;
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}
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printf("getting up %.3f%%\r", getup_percent*100.0);
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printf("getting up %.3f%%\r", getup_percent * 100.0);
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}
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if((int)_keyData.btn.components.R1 == 1)
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{
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@ -167,7 +172,7 @@ void RL_Real::RobotControl()
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cmd.motorCmd[i].Kd = 3;
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cmd.motorCmd[i].tau = 0;
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}
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printf("getting down %.3f%%\r", getdown_percent*100.0);
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printf("getting down %.3f%%\r", getdown_percent * 100.0);
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}
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if(getdown_percent == 1)
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{
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@ -205,7 +210,7 @@ void RL_Real::RunModel()
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// state.motorState[FR_0].dq, state.motorState[FR_1].dq, state.motorState[FR_2].dq,
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// state.motorState[RL_0].dq, state.motorState[RL_1].dq, state.motorState[RL_2].dq,
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// state.motorState[RR_0].dq, state.motorState[RR_1].dq, state.motorState[RR_2].dq);
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this->obs.ang_vel = torch::tensor({{state.imu.gyroscope[0], state.imu.gyroscope[1], state.imu.gyroscope[2]}});
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this->obs.commands = torch::tensor({{_keyData.ly, -_keyData.rx, -_keyData.lx}});
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this->obs.base_quat = torch::tensor({{state.imu.quaternion[1], state.imu.quaternion[2], state.imu.quaternion[3], state.imu.quaternion[0]}});
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@ -217,7 +222,7 @@ void RL_Real::RunModel()
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state.motorState[FR_0].dq, state.motorState[FR_1].dq, state.motorState[FR_2].dq,
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state.motorState[RL_0].dq, state.motorState[RL_1].dq, state.motorState[RL_2].dq,
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state.motorState[RR_0].dq, state.motorState[RR_1].dq, state.motorState[RR_2].dq}});
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torch::Tensor actions = this->Forward();
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for (int i : hip_scale_reduction_indices)
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@ -227,8 +232,14 @@ void RL_Real::RunModel()
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output_torques = this->ComputeTorques(actions);
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output_dof_pos = this->ComputePosition(actions);
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#ifdef CSV_LOGGER
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torch::Tensor tau_est = torch::tensor({{state.motorState[FL_0].tauEst, state.motorState[FL_1].tauEst, state.motorState[FL_2].tauEst,
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state.motorState[FR_0].tauEst, state.motorState[FR_1].tauEst, state.motorState[FR_2].tauEst,
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state.motorState[RL_0].tauEst, state.motorState[RL_1].tauEst, state.motorState[RL_2].tauEst,
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state.motorState[RR_0].tauEst, state.motorState[RR_1].tauEst, state.motorState[RR_2].tauEst}});
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CSVLogger(output_torques, tau_est, this->obs.dof_pos, output_dof_pos, this->obs.dof_vel);
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#endif
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}
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}
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torch::Tensor RL_Real::ComputeObservation()
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@ -275,10 +286,10 @@ void RL_Real::Plot()
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{
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plot_real_joint_pos[i].push_back(state.motorState[i].q);
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plot_target_joint_pos[i].push_back(cmd.motorCmd[i].q);
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plt::subplot(4, 3, i+1);
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plt::subplot(4, 3, i + 1);
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plt::named_plot("_real_joint_pos", plot_t, plot_real_joint_pos[i], "r");
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plt::named_plot("_target_joint_pos", plot_t, plot_target_joint_pos[i], "b");
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plt::xlim(motiontime-10000, motiontime);
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plt::xlim(motiontime - 10000, motiontime);
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}
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// plt::legend();
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plt::pause(0.0001);
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