Exemplo n.º 1
0
    print(static_lst)

    for i in range(len(static_lst)):
        #test pickStatic on the nearest obj (wrt. base frame):
        obj = static_lst[i]
        #test on only 1 static object
        print("= = = = = =")
        print("name: " + str(obj[0]))
        #        print("pose: "+str(obj[1]))
        #        print("twist: "+str(obj[2]))
        print("= = = = = =")

        name = obj[0]
        pose = obj[1]

        [qCurr, qd] = lynx.get_state()
        q_start = qCurr
        #q_target, q_reach, isReach = pickStatic(q_start, pose, name, color, map_struct)

        #TODO: update the static objects status after each run; perhaps not to use the current for loop structure
        res, qCurr = pickStatic(q_start, pose, name, color, map_struct)

        qClose = qCurr
        qClose[5] = 0
        lynx.set_pos(qClose)
        sleep(5)

        qBack = [-0.70, 0, 0, 0, qClose[4], 0]
        lynx.set_pos(qBack)
        sleep(10)
Exemplo n.º 2
0
    # iterate over target waypoints
    for q in path:
        print("Goal:")
        print(q)

        lynx.set_pos(q)
        reached_target = False

        proximity_radius = 0.05
        while not reached_target:
            # Check if robot is collided then wait
            collision = collision or lynx.is_collided()
            if collision:
                break
            pos, vel = lynx.get_state()
            if util.reachedTarget(pos, q, proximity_radius):
                reached_target = True
            sleep(0.05)

        print("Current Configuration:")
        pos, vel = lynx.get_state()
        print(pos)

    if collision:
        print("Robot collided during move")
    else:
        print("No collision detected")

    lynx.stop()
# Modify q as configuration that running in the Gazebo simulation
q = [0, 0, -0.52, 0, 0, 0]

# Please do not modify anything below this
if __name__=='__main__':
    main = Main()
    [jointPostions, T0e] = main.forward(q)
    np.set_printoptions(precision=6, suppress=True)
    cont = ArmController()
    sleep(1)
    print("Setup complete")
    cont.set_state(q)
    sleep(3)
    print('')
    print('The joint values are',cont.get_state()[0])
    print('')
    print('The joint velocities are', cont.get_state()[1])
    pose = cont.get_poses()
    poses = np.zeros((6, 3))
    for i in range (6):
        poses[i,0] = pose[i][0,3]
        poses[i,1] = pose[i][1,3]
        poses[i,2] = pose[i][2,3]
    print('')
    print('Simulation Joint Positions = ')
    print(poses)
    print('Predicted Joint Positions = ')
    print(np.around(jointPostions, decimals=3))
    print('Simulation T0e =')
    print(pose[-1])
Exemplo n.º 4
0
#!/usr/bin/python2
from time import sleep
import numpy as np
import rospy
import sys

from sys import path
from os import getcwd
path.append(getcwd() + "/../Core")

from arm_controller import ArmController

q = [.5,-0.5,-0.5,-0.1,1.2,0];

if __name__=='__main__':

    # set up ROS interface
    con = ArmController()
    sleep(1)
    rospy.loginfo("Setup complete !")

    # send command via controller
    con.set_state(q)
    sleep(3)
    rospy.loginfo("The current state is: ")
    print(con.get_state())

    # shut down ROS interface
    con.stop()
Exemplo n.º 5
0
#!/usr/bin/python
from time import sleep
import numpy as np
import rospy
import sys
from arm_controller import ArmController

    
if __name__=='__main__':
    cont = ArmController(5,False)
    sleep(1)
    cont.set_state([0,0,0,0,0,0])
    sleep(5)
    rospy.loginfo("The current state is: ")
    print(cont.get_state())    
    cont.stop()



Exemplo n.º 6
0
    color = sys.argv[1]
    lynx = ArmController(color)

    sleep(2)  # wait for setup

    map_struct = loadmap("./maps/final.txt")
    start = np.array([0, 0, 0, 0, 0, 0])

    lynx.set_pos(start)
    sleep(5)

    # interact with simulator, such as...

    # get state of your robot
    [q, qd] = lynx.get_state()
    print(q)
    print(qd)

    # get state of scoreable objects
    [name, pose, twist] = lynx.get_object_state()
    names = np.array(name)
    poses = np.array(pose)
    twists = np.array(twist)
    start = time.time()
    dynamic_indices = [i for i, item in enumerate(names) if "dynamic" in item]
    static_indices = [i for i in range(len(names)) if not i in dynamic_indices]
    print(dynamic_indices)
    print(static_indices)
    d_pose = poses[dynamic_indices]
    s_pose = poses[static_indices]
Exemplo n.º 7
0
def pickStatic(qstart, pose, name, color, map):

    isReach = True

    #1. get T_frame 0/world frame WRT frame 1/base frame (of blue/red)
    if (str(color).lower() == 'blue'):

        T01 = np.array([[-1, 0, 0, 200], [0, -1, 0, 200], [0, 0, 1, 0],
                        [0, 0, 0, 1]])

    elif (str(color).lower() == 'red'):

        T01 = np.array([[1, 0, 0, 200], [0, 1, 0, 200], [0, 0, 1, 0],
                        [0, 0, 0, 1]])

    else:
        print("incorrect color input")
        return

    #
    Tobj0 = np.array(pose)  # T_obj wrt frame 0/world frame

    Tobj1 = np.matmul(T01, Tobj0)  # T_obj wrt frame "1"/base frame
    #

    #get coords of object wrt base frame
    dobj_1 = Tobj1[0:3, 3]
    #stop at 30mm above the object
    dreach_1 = dobj_1 + np.array([-8, 12, 8])

    #get coords of end eff wrt base frame
    fk = calculateFK_jz.calculateFK()

    jointPos, T0e = fk.forward(qstart)
    de_1 = jointPos[-1, :]

    #lin. v of end eff, in unit vector (gives dir. to move toward the obj)
    v_e = (dreach_1 - de_1)  #/ 8 #/ np.linalg.norm(dreach_1 - de_1)
    #w_e = np.array([np.nan,np.nan,np.nan]) #keep ang. v 0s during the linear motion
    w_e = np.array([0, 0, 0])
    #w_e = np.array([np.nan,np.nan,np.nan])

    isReach = False

    qCurr = qstart
    deCurr = de_1

    dt = tc * 0.1

    lynx = ArmController(str(color))
    sleep(1)

    cnt = 0

    #if ran for 200 loops still can't reach: fails
    while (cnt < 230):

        print(cnt)
        if (checkReach(deCurr, dreach_1)):
            isReach = True
            #stop the robot
            lynx.set_vel([0, 0, 0, 0, 0, 0])
            sleep(5)
            break

        #find joint vel. to create lin. motion toward the obj
        dq = IK_velocity(qCurr, v_e, w_e, 6)

        print("------------")
        print("dq")
        print(dq)
        print()

        lynx.set_vel(dq.reshape(6).tolist())
        print("moving")
        sleep(dt)

        #        lynx.set_vel([0,0,0,0,0,0])
        #        print("stopping")
        #        sleep(1)

        #update qCurr
        [qCurr, qd] = lynx.get_state()

        #update deCurr
        jointPos, T0e = fk.forward(qCurr)
        deCurr = jointPos[-1, :]

        #update v_e
        v_e = (dreach_1 - deCurr)  #/ 8 #/ np.linalg.norm(dreach_1 - deCurr)

        cnt += 1

    if (cnt == 230):
        print("Failed")
    else:
        print("within reach")

    lynx.set_vel([0, 0, 0, 0, 0, 0])

    #    qClose = qCurr
    #    qClose[5] = 0
    #
    #
    #    #lynx.set_pos(qClose)
    #    #sleep(5)

    [qCurr, qd] = lynx.get_state()

    lynx.stop()
    return True, qCurr