diff --git a/python/convenience_tool_box/fts.png b/python/convenience_tool_box/fts.png index 7b3f302d2d66ef6e41abfeafdd890bb0f0526104..de2bbf01f170eeaa4f5228a367bd659b3a42a626 100644 Binary files a/python/convenience_tool_box/fts.png and b/python/convenience_tool_box/fts.png differ diff --git a/python/convenience_tool_box/measuring_stick.py b/python/convenience_tool_box/measuring_stick.py index 189bbe83d4de625928dcde8b2726add4a7e706c4..c410bf28e8058fd21c6fa0548f5c10ab97b73706 100644 --- a/python/convenience_tool_box/measuring_stick.py +++ b/python/convenience_tool_box/measuring_stick.py @@ -14,7 +14,7 @@ from ur_simple_control.clik.clik_point_to_point import get_args def handler(signum, frame): print('i will end freedrive and exit') - rtde_control.endFreedriveMode() + robot.rtde_control.endFreedriveMode() exit() args = get_args() diff --git a/python/examples/drawing_from_input_drawing.py b/python/examples/drawing_from_input_drawing.py index eb98e6ad20bbd1073e21f8f6137707a882ceb088..35e0e69578300d20e21368dae3ffce306c5acb26 100644 --- a/python/examples/drawing_from_input_drawing.py +++ b/python/examples/drawing_from_input_drawing.py @@ -21,7 +21,7 @@ from ur_simple_control.util.draw_path import drawPath from ur_simple_control.dmp.dmp import DMP, NoTC,TCVelAccConstrained # TODO merge these clik files as well, they don't deserve to be separate # TODO but first you need to clean up clik.py as specified there -from ur_simple_control.clik.clik_point_to_point import getClikController, moveL, moveUntilContact +from ur_simple_control.clik.clik_point_to_point import getClikController, moveL, moveUntilContact, controlLoopClik from ur_simple_control.clik.clik_trajectory_following import map2DPathTo3DPlane, clikCartesianPathIntoJointPath from ur_simple_control.managers import ControlLoopManager, RobotManager from ur_simple_control.util.calib_board_hacks import calibratePlane, getSpeedInDirectionOfN @@ -112,8 +112,8 @@ def getArgs(): default=0.001) parser.add_argument('--alpha', type=float, \ help="force feedback proportional coefficient", \ - #default=0.007) - default=0.05) + default=0.01) + #default=0.05) parser.add_argument('--beta', type=float, \ help="low-pass filter beta parameter", \ default=0.01) @@ -130,6 +130,8 @@ def getArgs(): help="height of the board (in meters) the robot will write on", \ #default=0.35) default=0.25) + # TODO: add axis direction too!!!!!!!!!!!!!!!!! + # and change the various offsets accordingly parser.add_argument('--board-axis', type=str, \ choices=['z', 'y'], \ help="(world) axis (direction) in which you want to search for the board", \ @@ -159,6 +161,8 @@ def getArgs(): if args.gripper and args.simulation: raise NotImplementedError('Did not figure out how to put the gripper in \ the simulation yet, sorry :/ . You can have only 1 these flags right now') + if args.calibration or args.pick_up_marker: + args.gripper = True return args # go and pick up the marker @@ -188,7 +192,7 @@ def getMarker(args, robot): # slighly up from goal to not hit marker weirdly TgoalUP = Tgoal.copy() - TgoalUP.translation += np.array([0,0,0.1]) + TgoalUP.translation += np.array([0,0,0.2]) # instantiate controller clik_controller = getClikController(args) @@ -310,13 +314,21 @@ def controlLoopWriting(wrench_offset, dmp, tc, controller, robot, i, past_data): #Z = np.diag(np.array([0.6, 0.6, 1.0, 0.5, 0.5, 0.5])) #Z = np.diag(np.array([0.6, 1.0, 0.6, 0.5, 0.5, 0.5])) #Z = np.diag(np.array([1.0, 1.0, 1.0, 1.0, 1.0, 1.0])) - Z = np.diag(np.array([0.0, 0.0, 2.0, 0.0, 0.0, 0.0])) + #Z = np.diag(np.array([0.0, 0.0, 2.0, 0.0, 0.0, 0.0])) +# if args.board_axis == 'z': +# Z = np.diag(np.array([0.0, 0.0, 2.0, 1.0, 1.0, 1.0])) +# if args.board_axis == 'y': +# Z = np.diag(np.array([0.0, 1.0, 0.0, 1.0, 1.0, 1.0])) + Z = np.diag(np.array([0.0, 0.0, 2.0, 1.0, 1.0, 1.0])) #Z = np.diag(np.ones(6)) #Z = np.diag(np.array([0.1, 0.1, 1.0, 0.1, 0.1, 0.1])) #Z = np.diag(np.array([1.0, 0.6, 1.0, 0.5, 0.5, 0.5])) wrench = robot.getWrench() wrench = wrench - wrench_offset + # deepcopy for good coding practise (and correctness here) + save_past_dict['wrench'] = copy.deepcopy(wrench) + # rolling average #wrench = np.average(np.array(past_data['wrench']), axis=0) # first-order low pass filtering instead @@ -332,11 +344,8 @@ def controlLoopWriting(wrench_offset, dmp, tc, controller, robot, i, past_data): wrench = mapping.T @ wrench wrench = Z @ wrench - # deepcopy for good coding practise (and correctness here) - save_past_dict['wrench'] = copy.deepcopy(wrench) - # rolling average if i % 100 == 0: - print(wrench) + print(*wrench.round(1)) pin.forwardKinematics(robot.model, robot.data, q) J = pin.computeJointJacobian(robot.model, robot.data, q, robot.JOINT_ID) dq = robot.getQd()[:6].reshape((6,1)) @@ -400,6 +409,7 @@ if __name__ == "__main__": print(q_init) print(rotation_matrix) print(translation_vector) + exit() else: # TODO: save this somewhere obviously # also make it prettier if possible @@ -409,10 +419,19 @@ if __name__ == "__main__": #rotation_matrix = np.array([[1. , 0. ,0.00336406], # [-0. , -0.00294646, 0.99999 ], # [ 0. , -0.99999 , -0.00294646]]) - q_init = robot.getQ() - Mtool = robot.getMtool() - translation_vector = Mtool.translation.copy() - rotation_matrix = Mtool.rotation.copy() + translation_vector = np.array([0.21997482, 0.41345861, 0.7314353]) + rotation_matrix = np.array([ + [ 1., 0., 0.01792578], + [ 0., -0.58973106, 0.80740073], + [ 0., -0.80740073, -0.58973106]]) + q_init = np.array([ 1.33085752e+00, -1.44578363e+00, -1.21776414e+00, -1.17214762e+00, 1.75202715e+00, -1.94359605e-01, 2.94117647e-04, 2.94117647e-04]) + #q_init = robot.getQ() + #Mtool = robot.getMtool() + #rotation_matrix = np.array([ + # [-1, 0, 0], + # [0, 0, -1], + # [0, -1, 0]]) + #translation_vector = Mtool.translation.copy() # make the path 3D path = map2DPathTo3DPlane(pixel_path, args.board_width, args.board_height) @@ -450,9 +469,9 @@ if __name__ == "__main__": # and this is the best number to change to get it to work [upside_down_emoji] # but this is very close #path = path + np.array([0.0, 0.0, -0.0785]) - path = path + np.array([0.0, 0.0, -0.1043]) + #path = path + np.array([0.0, 0.0, -0.1043]) #path = path + np.array([0.0, 0.0, -0.1000]) - #path = path + np.array([0.0, 0.0, -0.1573]) + path = path + np.array([0.0, 0.0, -0.0903]) #path = path + np.array([0.0, 0.2938, 0.0]) # and if you don't want to draw new nor calibrate, but you want the same path @@ -526,15 +545,17 @@ if __name__ == "__main__": first_q = np.array(first_q) #pin.forwardKinematics(robot.model, robot.data, first_q) mtool = robot.getMtool(q_given=first_q) - mtool.translation[1] = mtool.translation[1] - 0.0035 - #mtool.translation[1] = mtool.translation[1] - 0.04 + #mtool.translation[1] = mtool.translation[1] - 0.0035 + mtool.translation[1] = mtool.translation[1] - 0.012 print('going to starting write position') + # TODO: write a compliantMoveL - be careful that everything is in the body frame + # since your jacobian is the body jacobian!!! moveL(args, robot, mtool) - #moveL #moveJ(args, robot, dmp.pos.reshape((6,))) # and now we can actually run log_dict, final_iteration = loop_manager.run() + #loop_manager.stopHandler(None, None) mtool = robot.getMtool() print("move a bit back") if args.board_axis == 'z' or args.board_axis == 'y': @@ -543,12 +564,13 @@ if __name__ == "__main__": # mtool.translation[2] = mtool.translation[2] - 0.1 moveL(args, robot, mtool) - plotFromDict(log_dict, args) - robot.stopHandler(None, None) - robot.stopHandler(None, None) - robot.stopHandler(None, None) + + #plotFromDict(log_dict, args) + loop_manager.stopHandler(None, None) + #robot.stopHandler(None, None) + #robot.stopHandler(None, None) # plot results - plotFromDict(log_dict, args) + #plotFromDict(log_dict, args) # TODO: add some math to analyze path precision diff --git a/python/examples/joint_trajectory.csv b/python/examples/joint_trajectory.csv index 7ebe7e40e3b8dbe54c82d0726088625d1f3a0b86..2dbab5ec77811f0bc1d807f76d62cb0b9eec2fdc 100644 --- a/python/examples/joint_trajectory.csv +++ b/python/examples/joint_trajectory.csv @@ -1,2512 +1,4350 @@ -0.00000,1.32865,-1.25488,-1.44331,-1.11130,1.76804,-0.14802 -0.00199,1.32836,-1.25533,-1.44271,-1.11148,1.76827,-0.14821 -0.00398,1.32806,-1.25578,-1.44212,-1.11165,1.76850,-0.14839 -0.00597,1.32777,-1.25622,-1.44154,-1.11182,1.76872,-0.14857 -0.00796,1.32749,-1.25666,-1.44096,-1.11199,1.76894,-0.14875 -0.00996,1.32721,-1.25708,-1.44040,-1.11216,1.76916,-0.14893 -0.01195,1.32693,-1.25750,-1.43984,-1.11233,1.76937,-0.14910 -0.01394,1.32666,-1.25792,-1.43929,-1.11249,1.76958,-0.14927 -0.01593,1.32639,-1.25832,-1.43875,-1.11265,1.76979,-0.14944 -0.01792,1.32617,-1.25865,-1.43832,-1.11278,1.76996,-0.14958 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a/python/ur_simple_control/__pycache__/managers.cpython-311.pyc b/python/ur_simple_control/__pycache__/managers.cpython-311.pyc index 2d434f1f67bac8ac32904caaf55e1e0b9754ddce..26120b0cff823e6d4bc7f91a37548db23576a5ab 100644 Binary files a/python/ur_simple_control/__pycache__/managers.cpython-311.pyc and b/python/ur_simple_control/__pycache__/managers.cpython-311.pyc differ diff --git a/python/ur_simple_control/clik/__pycache__/clik_trajectory_following.cpython-311.pyc b/python/ur_simple_control/clik/__pycache__/clik_trajectory_following.cpython-311.pyc index 612d7bda706bce4f89d7d0a106fc828bd606beb5..18db5c996e4046d8835349b00b98255b309ada41 100644 Binary files a/python/ur_simple_control/clik/__pycache__/clik_trajectory_following.cpython-311.pyc and b/python/ur_simple_control/clik/__pycache__/clik_trajectory_following.cpython-311.pyc differ diff --git a/python/ur_simple_control/clik/clik_trajectory_following.py b/python/ur_simple_control/clik/clik_trajectory_following.py index 63c2779b1aa8996b7372b34b8a82ca83052695ef..c57b099427e0c0c03a5048b52cbfc26c634c43d6 100644 --- a/python/ur_simple_control/clik/clik_trajectory_following.py +++ b/python/ur_simple_control/clik/clik_trajectory_following.py @@ -9,6 +9,7 @@ import numpy as np import pinocchio as pin import copy +from ur_simple_control.managers import ControlLoopManager ####################################################################### # map the pixels to a 3D plane # @@ -129,9 +130,7 @@ def clikCartesianPathIntoJointPath(path, args, robot, \ else: if i == args.max_running_clik_iterations - 1: print("DID NOT CONVERGE -- exiting") - robot.stopHandler(None, None) - robot.stopHandler(None, None) - robot.stopHandler(None, None) + ControlLoopManager.stopHandler(None, None) exit() ############################################## diff --git a/python/ur_simple_control/dmp/__pycache__/dmp.cpython-311.pyc b/python/ur_simple_control/dmp/__pycache__/dmp.cpython-311.pyc index 58f7080212cb9966c81870f3342bd6193b1976c6..b69c2546b2f2d3fb8359d3d6fa2b74bce0dfc2e6 100644 Binary files a/python/ur_simple_control/dmp/__pycache__/dmp.cpython-311.pyc and b/python/ur_simple_control/dmp/__pycache__/dmp.cpython-311.pyc differ diff --git a/python/ur_simple_control/dmp/dmp.py b/python/ur_simple_control/dmp/dmp.py index 2741bd47abbf7bb8cc6f4c5a1ee051d44760b4ee..16f6f154a15cc75ccc6b2f0c83062d020ddecd2c 100644 --- a/python/ur_simple_control/dmp/dmp.py +++ b/python/ur_simple_control/dmp/dmp.py @@ -231,7 +231,7 @@ class TCVelAccConstrained: # Nominal bound taud_min_nominal = (dmp.tau0 - dmp.tau) / dt - taud_min = np.max((taud_min_a, taud_min_v, taud_min_f, taud_min_nominal)) + taud_min = np.max((taud_min_a, taud_min_v, taud_min_f[0], taud_min_nominal)) # Base update law ydd_bar = dmp.h() / (dmp.tau**2 * self.a_max) diff --git a/python/ur_simple_control/managers.py b/python/ur_simple_control/managers.py index c20166aab0bc98946cde3be2c72e066686766143..4fba1193aab8f83f39530ea0c331f346b4b91d08 100644 --- a/python/ur_simple_control/managers.py +++ b/python/ur_simple_control/managers.py @@ -207,7 +207,7 @@ class ControlLoopManager: self.robot_manager.rtde_control.freedriveMode() plotFromDict(self.log_dict, self.final_iteration, self.args) self.robot_manager.rtde_control.endFreedriveMode() - exit() + #exit() """ robotmanager: diff --git a/python/ur_simple_control/visualize/pin_to_vedo_plot_util.py b/python/ur_simple_control/visualize/pin_to_vedo_plot_util.py new file mode 100644 index 0000000000000000000000000000000000000000..d400cf7f74ecd176a77ab8ecf0dfca5e27a8a500 --- /dev/null +++ b/python/ur_simple_control/visualize/pin_to_vedo_plot_util.py @@ -0,0 +1,78 @@ +import numpy as np +import vedo +import pinocchio as pin + + +def drawBoxFromSE3(frame : pin.SE3, box_shape : list) -> vedo.Box: + objectt = vedo.Box(pos=frame.translation, length=box_shape[0], width=box_shape[1], height=box_shape[2], alpha=0.5) + angleAxis = pin.AngleAxis() + # they fucked in because they want to accept return value as argument + # which is no pythonic + # but they also then return it as well lmao + axx = pin.AngleAxis.fromRotationMatrix(angleAxis, frame.rotation) + #print(angleAxis) + #print(np.linalg.norm(angleAxis.axis)) + objectt.rotate(angleAxis.angle, axis=angleAxis.axis, point=frame.translation, rad=True) + #objectt.rotate(0.5, axis=[1,0,0], point=frame.translation, rad=True) + return objectt + +def updateBoxFromSE3(box : vedo.Box, previous_pose : pin.SE3, new_pose : pin.SE3): + # has to be passed as argument because non-pythonic original C++ code + angleAxis = pin.AngleAxis() + # groups yo + difference = new_pose.act(previous_pose.inverse()) + axx = pin.AngleAxis.fromRotationMatrix(angleAxis, difference.rotation) + box.rotate(angleAxis.angle, axis=angleAxis.axis, point=previous_pose.translation, rad=True) + #box.rotate(angleAxis.angle, axis=angleAxis.axis, point=new_pose.translation, rad=True) + #box.rotate(angleAxis.angle, axis=angleAxis.axis, point=difference.translation, rad=True) + box.pos(new_pose.translation) + +def updateFrameArrowsFromSE3(arrows : list[vedo.Arrow], frame : pin.SE3): + for i in range(0,3): + x = frame.translation[0] + frame.rotation[0,i] + y = frame.translation[1] + frame.rotation[1,i] + z = frame.translation[2] + frame.rotation[2,i] + arrows[i].base = frame.translation + arrows[i].top = np.array([x,y,z]) + +def drawSE3AsFrame(frame : pin.SE3, + text : str) -> vedo.Arrows: + #print(text) + #print(frame) + colors = ['r', 'g', 'b'] + arrows = [] + #print(frame.rotation) + scaling = 0.02 + for i in range(0,3): + x = frame.translation[0] + frame.rotation[0,i] * scaling + y = frame.translation[1] + frame.rotation[1,i] * scaling + z = frame.translation[2] + frame.rotation[2,i] * scaling + arrows.append(vedo.Arrow(frame.translation, np.array([x,y,z]), c=colors[i])) + + text_plot = vedo.shapes.Text3D(text, pos=frame.translation, s=0.02) + return arrows, text_plot + +def setContact1InBodyFrame(b : pin.SE3(), box_dimensions : np.ndarray) -> pin.SE3: + c1.rotation = pin.rpy.rpyToMatrix(0,np.pi,0) + c1.translation = np.array([0.2*box_dimensions[0], 0.3*box_dimensions[1], 0.5*box_dimensions[2]]) + return c1 + +def setContact2InBodyFrame(b : pin.SE3(), box_dimensions : np.ndarray) -> pin.SE3: + c2.rotation = pin.rpy.rpyToMatrix(0,0,0) + c2.translation = np.array([0.2*box_dimensions[0], 0.3*box_dimensions[1], -0.5*box_dimensions[2]]) + return c1 + +# there will be no angular velocity drawing, +# you can watch the b frame spin. +# but we do need the linear arrows +def drawBodyTwist(T_w_b : pin.SE3, v_b : pin.Motion) -> vedo.Arrow: + color = 'black' + v_s = T_w_b.act(v_b) + # this should be global or an argument or something + # or calculate it based on the box size, whatever + scaling = 0.02 + arrow = (v_s.linear / np.linalg.norm(v_s.linear)) * scaling + arrow_v = vedo.Arrow(T_w_b.translation, arrow , c=color) + return arrow_v + + diff --git a/python/ur_simple_control/visualize/vedo_manipulator.py b/python/ur_simple_control/visualize/vedo_manipulator.py new file mode 100644 index 0000000000000000000000000000000000000000..5c3972b701ee4da0621447c0d9847a10755f727c --- /dev/null +++ b/python/ur_simple_control/visualize/vedo_manipulator.py @@ -0,0 +1,236 @@ +""" +the idea here is that the all the robot-math +is handled by pinocchio and all the plotting is +done with vedo. we're just making the 3D plot here. + +there are 2 modes of operation, and ideally they can be +handled in the same implementation with a few if statements: + 1. visualization from a log file + 2. real-time visualization +what's written in the +""" + +import numpy as np +import vedo +import pinocchio as pin +import time +from ur_simple_control.visualize.pin_to_vedo_plot_util import * +from friction import ReducedFrictionModel +from multiprocessing import Process +from scipy.integrate import solve_ivp + + +####################################################################### +# IMPLEMENT THIS ACTUALLY # +####################################################################### + + +if __name__ == "__main__": + args = getArgs() + # change this after you add the manipulator + box_dimensions = [args.box_length, args.box_width, args.box_height] + + ########################################### + # vedo instantiation, frame definitions # + ########################################### + vedo.settings.use_depth_peeling = True + + # need to manually seed lmao + #pin.seed(int(time.time())) + T_w_J = pin.SE3() + # TODO: check how friction behaves when we're perpendicular to gravity + T_w_J.setIdentity() + T_w_J.translation = np.array([1,2,3]) + T_w_J.setRandom() + #T_w_J.rotation = pin.rpy.rpyToMatrix(0,np.pi/2,0) + + + model, data, OBJECT_JOINT_ID = getPlanarJointModel(args, T_w_J, box_dimensions) + q_init = pin.randomConfiguration(model) + #theta = np.random.random() * 2 * np.pi + theta = 0.345321 + q_init[0] = 0.1 + q_init[1] = 0.1 + q_init[2] = np.cos(theta) + q_init[3] = np.sin(theta) + + v_b_se2 = np.array([0.1, 0.0, 0.5]) + v_b_se3 = pin.Motion(np.array([v_b_se2[0], v_b_se2[1], 0]), np.array([0,0,v_b_se2[2]])) + print("v_b_se2", v_b_se2) + #print("pin.exp3(v)", pin.exp3(v)) + #exit() + #tau = np.ones((model.nv)) * 0.1 + #a = pin.aba(model, data, q, v, tau) + # tau_q_control does not exist in reality, those are the actuators + # of the planar joint + #tau_q_control = np.zeros((model.nv)) + + pin.forwardKinematics(model, data, q_init) + T_w_b_init = data.oMi[1].copy() + + q_pin = pin.integrate(model, q_init, v_b_se2) + print("q_pin:", q_pin) + pin.forwardKinematics(model, data, q_pin) + pin.updateFramePlacements(model, data) +# for vvv in data.v: +# print(vvv) +# for fr in data.oMf: +# print(fr) + T_w_b_pin = data.oMi[1].copy() + + q_3 = np.zeros(3) + q_3[0] = q_init[0] + q_3[1] = q_init[1] + q_3[2] = theta + print("q_3", q_3) + + in_SE3 = False + +######################################################## +## JUST USE THE EXP FOR THE LOVE OF GOD +#############################################3333333 +# omega = v[2] +# cv = np.cos(omega) +# sv = np.sin(omega) +# R_omega = np.array([[cv, -1*sv], [sv, cv]]) +# vcross = np.array([-1*v[1], v[0]]) +# vcross -= -v[:2]*R_omega[:,0] + v[:2]*R_omega[:,1] +# vcross /= omega +# t = vcross.copy() +# T_next = np.hstack((R_omega, t.reshape((2,1)))) +# T_next = np.vstack((T_next, np.array([0,0,1]).reshape((1,3)))) +# # let's try inverse +# #T_next = np.hstack((R_omega.T, -1*R_omega.T @ t.reshape((2,1)))) +# #T_next = np.vstack((T_next, np.array([0,0,1]).reshape((1,3)))) +# print("T_next", T_next) + +# c_theta = np.cos(theta) +# s_theta = np.sin(theta) +# R_theta = np.array([[c_theta, -1*s_theta], [s_theta, c_theta]]) +# T_J_b_se2 = np.hstack((R_theta, np.array([q_3[0],q_3[1]]).reshape((2,1)))) +# T_J_b_se2 = np.vstack((T_J_b_se2, np.array([0,0,1]).reshape((1,3)))) + +# print("T_J_b_se2", T_J_b_se2) +# T_J_b_se2 = T_next @ T_J_b_se2 +# print("T_J_b_se2", T_J_b_se2) + +# T_next_SE3 = pin.exp(v_b_se3) +# T_next_SE2 = np.hstack((T_next_SE3.rotation[:2,:2], T_next_SE3.translation[:2].reshape((2,1)))) +# T_next_SE2 = np.vstack((T_next_SE2, np.array([0,0,1]).reshape((1,3)))) + + # wrogn notation last term lel +# T_J_b_SE2 = T_next_SE2 @ T_J_b_se2 +# q_3[0] = T_J_b_SE2[0,2] +# q_3[1] = T_J_b_SE2[1,2] +# # not good but w/3 +# q_3[2] = np.arccos(T_J_b_SE2[0,0]) + + # this changes the no rotation problem + #q_3[2] = omega + + #print("q_3 + v_b_se2", q_3) +################# +# q_euler = np.zeros(4) +# q_euler[0] = q_3[0] #+ np.cos(v[2]) +# q_euler[1] = q_3[1] #+ np.exp(v[2]) +# q_euler[2] = np.cos(q_3[2]) +# q_euler[3] = np.sin(q_3[2]) +# print("q_euler:", q_euler) +# pin.forwardKinematics(model, data, q_euler) + #T_w_b_euler = data.oMi[1].copy() + #T_w_b_euler = pin.exp6(v_b_se3).act(T_w_J) + #T_w_b_euler = pin.exp6(v_twist).act(T_w_b_init) +# T_J_b = T_w_J.actInv(T_w_b_init) + #print(T_J_b) + #T_w_b_euler = pin.exp6(T_J_b.act(v_twist)).act(T_w_b_init) + # THIS IS THE ONE!!!!!!!!!!!!!!!!!!! + if in_SE3: + print("SE3 version") + v_w_se3 = T_w_b_init.act(v_b_se3) + print(v_w_se3) + T_w_next_SE3 = pin.exp6(v_w_se3) + print(T_w_next_SE3) + T_w_b_euler = T_w_next_SE3.act(T_w_b_init) + #T_w_b_euler = pin.exp6(v_twist).act(T_w_b_init) + #T_J_b_next_euler = pin.exp6(v_twist).act(T_J_b) + #T_w_b_euler = T_w_J.act(T_J_b_next_euler) + # let's try to get this within J and SE(2) + # get v_b to v_J + else: + print("SE2 version") + c_theta = np.cos(theta) + s_theta = np.sin(theta) + R_theta = np.array([[c_theta, -1*s_theta], [s_theta, c_theta]]) + # needed later + T_J_b_SE2 = np.zeros((3,3)) + T_J_b_SE2[:2,:2] = R_theta + T_J_b_SE2[0,2] = q_3[0] + T_J_b_SE2[1,2] = q_3[1] + T_J_b_SE2[2,2] = 1 + Ad_T_J_b_SE2 = np.zeros((3,3)) + Ad_T_J_b_SE2[:2,:2] = R_theta + Ad_T_J_b_SE2[0,2] = q_init[1] + Ad_T_J_b_SE2[1,2] = -q_init[0] + Ad_T_J_b_SE2[2,2] = 1 + v_J_se2 = Ad_T_J_b_SE2 @ v_b_se2 + print("v_J_se2", v_J_se2) + # get v_J_se2 to T_next_SE2 + omega = v_J_se2[2] + c_omega = np.cos(omega) + s_omega = np.sin(omega) + # note that this is the same as exp(omega) + R_omega = np.array([[c_omega, -1*s_omega], [s_omega, c_omega]]) + omega_abs = np.abs(omega) + t = np.zeros(2) + if omega_abs > 1e-14: + V = np.array([[s_omega, -1*(1 -c_omega)], [1- c_omega, s_omega]]) + V /= omega + t = V @ np.array([v_J_se2[0], v_J_se2[1]])#.reshape((2,1)) + else: + t = np.zeros(2) + t[0] = v_J_se2[0] + t[1] = v_J_se2[1] + T_next_SE2 = np.hstack((R_omega, t.reshape((2,1)))) + T_next_SE2 = np.vstack((T_next_SE2, np.array([0,0,1]).reshape((1,3)))) + print("T_next_SE2", T_next_SE2) + T_J_b_SE2 = T_next_SE2 @ T_J_b_SE2 + q_euler = np.zeros(4) + q_euler[0] = T_J_b_SE2[0,2] + q_euler[1] = T_J_b_SE2[1,2] + q_euler[2] = T_J_b_SE2[0,0] + q_euler[3] = T_J_b_SE2[1,0] + #q_euler[0] = q_3[0] + #q_euler[1] = q_3[1] + #q_euler[2] = np.cos(q_3[2]) + #q_euler[3] = np.sin(q_3[2]) + print("q3 + v_J", q_3 + v_J_se2) + print("q_euler:", q_euler) + pin.forwardKinematics(model, data, q_euler) + T_w_b_euler = data.oMi[OBJECT_JOINT_ID] + + + + joint_arrows, joint_text = drawSE3AsFrame(T_w_J, "J") + b_init_arrows, b_init_text = drawSE3AsFrame(T_w_b_init, "b_init") + # pin + objectt = drawBoxFromSE3(T_w_b_pin, box_dimensions) + b_arrows_pin, b_text_pin = drawSE3AsFrame(T_w_b_pin, "b_pin") + # euler + objectt = drawBoxFromSE3(T_w_b_pin, box_dimensions) + b_arrows_euler, b_text_euler = drawSE3AsFrame(T_w_b_euler, "b_euler") + + + plt = vedo.Plotter(axes=1) + plt.camera = vedo.utils.oriented_camera(center=(0, 0, 0), + up_vector=(0, 1, 0), + backoff_vector=(0, 1, 0), + backoff=1.0) + + plt.add(objectt) + plt.add(b_init_arrows, b_init_text) + plt.add(b_arrows_pin, b_text_pin) + plt.add(b_arrows_euler, b_text_euler) + plt.add(joint_arrows, joint_text) + plt.render() + plt.show() + plt.close()