Havoc
6c55201f73
- 将任务5中的run_task_5函数重命名为pass_bar，并调整其实现以适应新的步态参数文件路径。 - 在task_4.py中添加通过栏杆的步骤，并更新相关的步态参数文件路径。 - 优化了任务4的执行流程，确保机器人能够顺利通过栏杆并继续后续任务。
113 lines
4.0 KiB
Python
113 lines
4.0 KiB
Python
import time
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import sys
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import os
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import toml
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import copy
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import math
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import lcm
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# 添加父目录到路径，以便能够导入utils
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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# 添加当前目录到路径，确保可以找到local文件
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sys.path.append(os.path.dirname(os.path.abspath(__file__)))
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from utils.log_helper import LogHelper, get_logger, section, info, debug, warning, error, success, timing
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from base_move.turn_degree import turn_degree
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from base_move.go_straight import go_straight
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from file_send_lcmt import file_send_lcmt
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# 创建本模块特定的日志记录器
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logger = get_logger("任务3")
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observe = True
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robot_cmd = {
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'mode':0, 'gait_id':0, 'contact':0, 'life_count':0,
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'vel_des':[0.0, 0.0, 0.0],
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'rpy_des':[0.0, 0.0, 0.0],
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'pos_des':[0.0, 0.0, 0.0],
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'acc_des':[0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
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'ctrl_point':[0.0, 0.0, 0.0],
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'foot_pose':[0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
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'step_height':[0.0, 0.0],
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'value':0, 'duration':0
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}
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def pass_bar(ctrl, msg):
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"""
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俯身通过一个栅栏
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"""
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# 切换步态
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usergait_msg = file_send_lcmt()
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lcm_usergait = lcm.LCM("udpm://239.255.76.67:7671?ttl=255")
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try:
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steps = toml.load("./task_4/Gait_Params_stoop.toml")
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full_steps = {'step':[robot_cmd]}
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k =0
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for i in steps['step']:
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cmd = copy.deepcopy(robot_cmd)
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cmd['duration'] = i['duration']
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if i['type'] == 'usergait':
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cmd['mode'] = 11 # LOCOMOTION
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cmd['gait_id'] = 110 # USERGAIT
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cmd['vel_des'] = i['body_vel_des']
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cmd['rpy_des'] = i['body_pos_des'][0:3]
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cmd['pos_des'] = i['body_pos_des'][3:6]
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cmd['foot_pose'][0:2] = i['landing_pos_des'][0:2]
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cmd['foot_pose'][2:4] = i['landing_pos_des'][3:5]
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cmd['foot_pose'][4:6] = i['landing_pos_des'][6:8]
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cmd['ctrl_point'][0:2] = i['landing_pos_des'][9:11]
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cmd['step_height'][0] = math.ceil(i['step_height'][0] * 1e3) + math.ceil(i['step_height'][1] * 1e3) * 1e3
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cmd['step_height'][1] = math.ceil(i['step_height'][2] * 1e3) + math.ceil(i['step_height'][3] * 1e3) * 1e3
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cmd['acc_des'] = i['weight']
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cmd['value'] = i['use_mpc_traj']
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cmd['contact'] = math.floor(i['landing_gain'] * 1e1)
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cmd['ctrl_point'][2] = i['mu']
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if k == 0:
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full_steps['step'] = [cmd]
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else:
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full_steps['step'].append(cmd)
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k=k+1
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f = open("./task_4/Gait_Params_stoop_full.toml", 'w')
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f.write("# Gait Params\n")
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f.writelines(toml.dumps(full_steps))
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f.close()
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# pre
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file_obj_gait_def = open("./task_4/Gait_Def_stoop.toml",'r')
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file_obj_gait_params = open("./task_4/Gait_Params_stoop_full.toml",'r')
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usergait_msg.data = file_obj_gait_def.read()
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lcm_usergait.publish("user_gait_file",usergait_msg.encode())
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time.sleep(0.5)
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usergait_msg.data = file_obj_gait_params.read()
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lcm_usergait.publish("user_gait_file",usergait_msg.encode())
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time.sleep(0.1)
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file_obj_gait_def.close()
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file_obj_gait_params.close()
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file_obj_gait_params = open("./task_4/Gait_Params_stoop_full.toml",'r')
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usergait_msg.data = file_obj_gait_params.read()
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lcm_usergait.publish("user_gait_file", usergait_msg.encode())
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time.sleep(0.5)
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file_obj_gait_params.close()
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msg.mode = 62
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msg.value = 0
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msg.contact = 15
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msg.gait_id = 110
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msg.duration = 1000
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msg.life_count += 1
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for i in range(50):
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ctrl.Send_cmd(msg)
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time.sleep(0.2)
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except KeyboardInterrupt:
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msg.mode = 7 #PureDamper before KeyboardInterrupt:
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msg.gait_id = 0
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msg.duration = 0
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msg.life_count += 1
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ctrl.Send_cmd(msg)
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pass
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