correct the rm official ik issue.
out of workspace ik calculation may return ret = 0. in this version, the fk verification is done for double check its success.
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@ -22,12 +22,12 @@ tools_in_ee = {
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}
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# joint limit
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ub = np.array([150.0, 110.0, 170.0, 130, 175.0, 125.0, 179.0]) / 180 * pi
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lb = np.array([-150.0, -30.0, -170.0, -130, -175.0, -125.0, -179.0]) / 180 * pi
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# ub = np.array([150.0, 110.0, 170.0, 130, 175.0, 125.0, 179.0]) / 180 * pi
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# lb = np.array([-150.0, -30.0, -170.0, -130, -175.0, -125.0, -179.0]) / 180 * pi
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# ub = np.array([179.0, 129.0, 179.0, 134, 179.0, 127.0, 359.0])/180*pi
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# lb = -ub
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ub = np.array([179.0, 129.0, 179.0, 134, 179.0, 127.0, 359.0])/180*pi
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lb = -ub
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tool_name = "scissor"
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@ -48,6 +48,17 @@ def main():
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robot_kine_rm.add_tool_frames(tools_in_ee)
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robot_kine_rm.cfg_j_limit(min_j=lb, max_j=ub, rad_flag=True)
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# ret_rm, q = robot_kine_rm.inverse_kinematics(target_position=[-0.6, -0.6 , 0. ], target_rpy=[1.2022060487764064, -1.0097962261845583, -0.6518417572686532],
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# initial_guess=[0.1] * 7, tool="no_tool")
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#
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# print(f'ret_rm = {ret_rm}, q = {q}')
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# pose = robot_kine_rm.forward_kinematics(joint_angles=q, tool="no_tool")
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# print(f'pose = {pose}')
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#
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# time.sleep(5)
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# -------------- for comparison ----------------
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@ -59,7 +70,7 @@ def main():
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solve_sum = 0
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for i in range(10):
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for i in range(1000):
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print(f'\n-------------- in i = {i} ----------------')
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joint_rand = np.random.uniform(ub, lb)
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print(f'the predefined joints are {joint_rand}')
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@ -83,27 +94,27 @@ def main():
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if ret_qp == 0:
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fk_qp_p2 = robot_kine_qp.forward_kinematics(q, tool=tool_name)
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d_p_ik = cal_pose_deviation(pose1=t_p, pose2=fk_qp_p2)
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print(f'-- success, in the qp ik, fk_qp_p2 = {fk_qp_p2}, d_p_ik = {d_p_ik}')
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print(f'---- success, in the qp ik, fk_qp_p2 = {fk_qp_p2}, d_p_ik = {d_p_ik}')
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if d_p_ik < 0.01:
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result[0][1] += 1
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robot_mjk.send_command(q)
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robot_mjk.wait_until_reached()
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robot_mjk.print_state()
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# robot_mjk.send_command(q)
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# robot_mjk.wait_until_reached()
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# robot_mjk.print_state()
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else:
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fk_qp_p2 = robot_kine_qp.forward_kinematics(q, tool=tool_name)
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d_p_ik = cal_pose_deviation(pose1=t_p, pose2=fk_qp_p2)
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print(f'-- fail, in the qp ik, fk_qp_p2 = {fk_qp_p2}, d_p_ik = {d_p_ik},q = {q}, ret_qp = {ret_qp}')
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print(f'---- fail, in the qp ik, fk_qp_p2 = {fk_qp_p2}, d_p_ik = {d_p_ik},q = {q}, ret_qp = {ret_qp}')
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ret_rm, q = robot_kine_rm.inverse_kinematics(target_position=t_p[0:3], target_rpy=t_p[3:6], initial_guess=joint_rand_init, tool=tool_name)
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if ret_rm == 0:
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fk_rm_p2 = robot_kine_rm.forward_kinematics(joint_angles=q, tool=tool_name)
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d_p_ik = cal_pose_deviation(pose1=t_p, pose2=fk_rm_p2)
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print(f'== sucess, in the rm ik, fk_rm_p2 = {fk_rm_p2}, d_p_ik = {d_p_ik} ,q = {q}, ret_qp = {ret_qp}')
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print(f'==== sucess, in the rm ik, fk_rm_p2 = {fk_rm_p2}, d_p_ik = {d_p_ik} ,q = {q}, ret_qp = {ret_rm}')
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if d_p_ik < 0.01:
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result[1][1] += 1
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else:
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print(f'== fail in the rm ik, ret = {ret_rm}, q = {q}')
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print(f'==== fail in the rm ik, ret = {ret_rm}, q = {q}')
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if ret_qp == 0 or ret_rm == 0:
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solve_sum += 1
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