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| 1 | +#!/usr/bin/env python3 |
| 2 | + |
| 3 | +""" |
| 4 | +Example of embedding the CartesIO solver in a Python script which is |
| 5 | +completely independent from ROS and standalone. |
| 6 | +The required input is just a URDF file of the robot. |
| 7 | +""" |
| 8 | + |
| 9 | +import math |
| 10 | +import os |
| 11 | +from time import sleep |
| 12 | + |
| 13 | +from cartesian_interface.pyci_all import * |
| 14 | +from xbot2_interface.pyaffine3 import Affine3 |
| 15 | +from xbot2_interface import pyxbot2_interface as xb |
| 16 | + |
| 17 | +# load the URDF and SRDF file |
| 18 | +urdf_path = os.path.dirname(os.path.abspath(__file__)) + "/../urdf/coman.urdf" |
| 19 | +urdf = open(urdf_path, "r").read() |
| 20 | +srdf_path = os.path.dirname(os.path.abspath(__file__)) + "/../srdf/coman.srdf" |
| 21 | +srdf = open(srdf_path, "r").read() |
| 22 | + |
| 23 | +# params |
| 24 | +DT = 0.01 |
| 25 | +LOG_PATH = '/tmp' |
| 26 | +TRJ_RADIUS = 0.1 # m |
| 27 | +TRJ_FREQ_HZ = 0.1 # Hz |
| 28 | + |
| 29 | +# create the model interface |
| 30 | +model = xb.ModelInterface2(urdf, srdf, 'pin') |
| 31 | + |
| 32 | +# load the ik problem |
| 33 | +ik_problem_path = os.path.dirname(os.path.abspath(__file__)) + "/../configs/coman_stack.yaml" |
| 34 | +ik_problem = open(ik_problem_path, "r").read() |
| 35 | + |
| 36 | +# reset model position to homing |
| 37 | +model.q = model.getRobotState('home') |
| 38 | +model.update() |
| 39 | + |
| 40 | +# create the solver |
| 41 | +solver = pyci.CartesianInterface.MakeInstance( |
| 42 | + solver='OpenSot', |
| 43 | + problem=ik_problem, |
| 44 | + model=model, |
| 45 | + dt=DT, |
| 46 | + log_path=LOG_PATH |
| 47 | +) |
| 48 | + |
| 49 | +# get the left hand task |
| 50 | +lh_task = solver.getTask('left_hand') |
| 51 | +lh_ee_name = lh_task.getDistalLink() |
| 52 | +lh_base_name = lh_task.getBaseLink() |
| 53 | +print(f'+++ Left hand ee link: {lh_ee_name}, base link: {lh_base_name}') |
| 54 | + |
| 55 | +# initial ee pose |
| 56 | +T_0 = model.getPose(lh_ee_name, lh_base_name) |
| 57 | +print(f'+++ Initial left hand ee pose:\n{T_0}') |
| 58 | + |
| 59 | +# ik loop |
| 60 | +time = 0 |
| 61 | +while True: |
| 62 | + |
| 63 | + # define desired pose |
| 64 | + Tdes = T_0.copy() |
| 65 | + Tdes.translation[1] += TRJ_RADIUS * math.sin(2 * math.pi * TRJ_FREQ_HZ * time) |
| 66 | + Tdes.translation[2] += TRJ_RADIUS * (1 - math.cos(2 * math.pi * TRJ_FREQ_HZ * time))/2. |
| 67 | + |
| 68 | + # set desired pose |
| 69 | + lh_task.setPoseReference(Tdes) |
| 70 | + |
| 71 | + # solve |
| 72 | + if not solver.update(time, DT): |
| 73 | + print("!!! Solver failed!") |
| 74 | + break |
| 75 | + |
| 76 | + # integrate solution |
| 77 | + model.q = model.sum(model.q, model.v * DT) |
| 78 | + model.update() |
| 79 | + |
| 80 | + # print tracking error |
| 81 | + T = model.getPose(lh_ee_name, lh_base_name) |
| 82 | + error = T * Tdes.inverse() |
| 83 | + print(f'Time: {time:.2f} s, Error matrix:\n{error}') |
| 84 | + |
| 85 | + # increment time |
| 86 | + time += DT |
| 87 | + |
| 88 | + # sync |
| 89 | + sleep(DT) |
| 90 | + |
| 91 | + |
| 92 | + |
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