397 lines
14 KiB
Python
Executable File
397 lines
14 KiB
Python
Executable File
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 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("低头匍匐步态")
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observe = False
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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 low_crawl_gait(ctrl, msg, step_count=8, observe=True):
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"""
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执行低头匍匐前进步态
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参数:
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ctrl: Robot_Ctrl对象，包含机器人控制接口
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msg: 控制消息对象
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step_count: 执行的步数，默认8步（两个完整步态周期）
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observe: 是否输出调试信息
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返回:
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bool: 是否成功执行步态
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"""
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if observe:
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section('开始执行低头匍匐前进步态', "步态控制")
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info(f"计划执行 {step_count} 步的匍匐步态", "步态")
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# 切换步态
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usergait_msg = file_send_lcmt()
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try:
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# 加载步态参数
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gait_def_path = "./task_2/Gait_Def_crawl.toml"
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gait_params_path = "./task_2/Gait_Params_crawl.toml"
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if observe:
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info(f"加载步态定义文件: {gait_def_path}", "加载")
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info(f"加载步态参数文件: {gait_params_path}", "加载")
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# 检查文件是否存在
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if not os.path.exists(gait_def_path):
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error(f"步态定义文件不存在: {gait_def_path}", "错误")
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return False
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if not os.path.exists(gait_params_path):
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error(f"步态参数文件不存在: {gait_params_path}", "错误")
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return False
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# 加载步态参数
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steps = toml.load(gait_params_path)
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full_steps = {'step':[robot_cmd]}
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k = 0
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if observe:
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info(f"成功加载 {len(steps['step'])} 个步态参数", "加载")
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# 处理每个步态参数
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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] # roll, pitch, yaw
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cmd['pos_des'] = i['body_pos_des'][3:6] # x, y, z
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cmd['foot_pose'][0:2] = i['landing_pos_des'][0:2] # FR
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cmd['foot_pose'][2:4] = i['landing_pos_des'][3:5] # FL
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cmd['foot_pose'][4:6] = i['landing_pos_des'][6:8] # RR
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cmd['ctrl_point'][0:2] = i['landing_pos_des'][9:11] # RL
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# 步高编码（前两腿和后两腿）
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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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# 生成完整的步态参数文件
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full_params_path = "./task_2/Gait_Params_crawl_full.toml"
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with open(full_params_path, 'w') as f:
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f.write("# Gait Params for Low Crawl - Generated\n")
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f.writelines(toml.dumps(full_steps))
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if observe:
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info(f"生成完整步态参数文件: {full_params_path}", "生成")
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# 发送步态定义文件
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with open(gait_def_path, 'r') as file_obj_gait_def:
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usergait_msg.data = file_obj_gait_def.read()
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ctrl.lc_s.publish("user_gait_file", usergait_msg.encode())
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if observe:
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debug("发送步态定义文件到机器人", "发送")
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time.sleep(0.5)
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# 发送步态参数文件
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with open(full_params_path, 'r') as file_obj_gait_params:
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usergait_msg.data = file_obj_gait_params.read()
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ctrl.lc_s.publish("user_gait_file", usergait_msg.encode())
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if observe:
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debug("发送步态参数文件到机器人", "发送")
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time.sleep(0.1)
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# 开始执行步态
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msg.mode = 62 # 自定义步态模式
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msg.value = 0
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msg.contact = 15
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msg.gait_id = 110 # USERGAIT ID
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msg.duration = 1000
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msg.life_count += 1
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if observe:
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info("开始执行低头匍匐步态...", "执行")
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# 执行指定步数的步态
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for i in range(step_count):
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if observe:
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debug(f"执行第 {i+1}/{step_count} 步", "步态")
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ctrl.Send_cmd(msg)
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time.sleep(1) # 每步间隔1秒
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# 检查机器人状态（可选）
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if hasattr(ctrl, 'odo_msg'):
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current_pos = ctrl.odo_msg.xyz
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current_rpy = ctrl.odo_msg.rpy
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if observe and i % 2 == 0: # 每两步输出一次状态
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debug(f"当前位置: x={current_pos[0]:.3f}, y={current_pos[1]:.3f}, z={current_pos[2]:.3f}", "状态")
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debug(f"当前姿态: roll={math.degrees(current_rpy[0]):.1f}°, pitch={math.degrees(current_rpy[1]):.1f}°, yaw={math.degrees(current_rpy[2]):.1f}°", "状态")
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if observe:
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success(f"成功完成 {step_count} 步低头匍匐步态", "完成")
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return True
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except KeyboardInterrupt:
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warning("用户中断，停止步态执行", "中断")
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# 安全停止
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msg.mode = 7 # PureDamper模式
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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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return False
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except Exception as e:
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error(f"执行低头匍匐步态时发生错误: {str(e)}", "错误")
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# 安全停止
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try:
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msg.mode = 7 # PureDamper模式
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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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except:
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pass
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return False
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def transition_to_crawl_position(ctrl, msg, observe=True):
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"""
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过渡到匍匐准备姿态
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参数:
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ctrl: Robot_Ctrl对象
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msg: 控制消息对象
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observe: 是否输出调试信息
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返回:
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bool: 是否成功过渡到匍匐姿态
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"""
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if observe:
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section('过渡到低头匍匐准备姿态', "姿态调整")
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try:
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# 第一阶段：降低身体高度
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if observe:
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info("第一阶段：降低身体高度到匍匐位置", "调整")
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msg.mode = 11 # Locomotion模式
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msg.gait_id = 26 # 自变频步态
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msg.vel_des = [0.0, 0.0, 0.0] # 停止移动
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msg.rpy_des = [0.0, 0.15, 0.0] # 稍微抬头，为后续低头做准备
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msg.pos_des = [0.0, 0.0, -0.03] # 身体降低3cm
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msg.step_height = [0.04, 0.04] # 较低的步高
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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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time.sleep(2.0) # 等待姿态调整
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# 第二阶段：调整到低头姿态
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if observe:
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info("第二阶段：调整到低头匍匐姿态", "调整")
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msg.rpy_des = [0.0, 0.25, 0.0] # 低头姿态，pitch角约14度
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msg.pos_des = [0.0, 0.0, -0.05] # 身体再降低2cm
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msg.life_count += 1
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ctrl.Send_cmd(msg)
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time.sleep(2.0)
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# 第三阶段：稳定在匍匐姿态
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if observe:
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info("第三阶段：稳定在低头匍匐姿态", "调整")
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msg.vel_des = [0.0, 0.0, 0.0] # 确保静止
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msg.life_count += 1
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ctrl.Send_cmd(msg)
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time.sleep(1.0)
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if observe:
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success("成功过渡到低头匍匐准备姿态", "完成")
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return True
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except Exception as e:
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error(f"过渡到匍匐姿态时发生错误: {str(e)}", "错误")
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return False
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def recover_from_crawl_position(ctrl, msg, observe=True):
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"""
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从匍匐姿态恢复到正常站立姿态
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参数:
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ctrl: Robot_Ctrl对象
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msg: 控制消息对象
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observe: 是否输出调试信息
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返回:
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bool: 是否成功恢复到正常姿态
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"""
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if observe:
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section('从低头匍匐姿态恢复到正常站立', "姿态恢复")
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try:
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# 第一阶段：停止当前步态
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if observe:
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info("第一阶段：停止当前步态", "停止")
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msg.mode = 7 # PureDamper模式，安全停止
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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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time.sleep(1.0)
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# 第二阶段：逐渐抬高身体
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if observe:
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info("第二阶段：逐渐抬高身体", "恢复")
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msg.mode = 11 # Locomotion模式
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msg.gait_id = 26 # 自变频步态
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msg.vel_des = [0.0, 0.0, 0.0]
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msg.rpy_des = [0.0, 0.1, 0.0] # 减少低头角度
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msg.pos_des = [0.0, 0.0, -0.02] # 稍微抬高
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msg.step_height = [0.06, 0.06]
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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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time.sleep(2.0)
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# 第三阶段：恢复到正常姿态
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if observe:
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info("第三阶段：恢复到正常站立姿态", "恢复")
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msg.rpy_des = [0.0, 0.0, 0.0] # 恢复正常头部姿态
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msg.pos_des = [0.0, 0.0, 0.0] # 恢复正常身体高度
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msg.step_height = [0.08, 0.08] # 正常步高
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msg.life_count += 1
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ctrl.Send_cmd(msg)
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time.sleep(2.0)
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# 最终稳定
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msg.life_count += 1
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ctrl.Send_cmd(msg)
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time.sleep(1.0)
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if observe:
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success("成功恢复到正常站立姿态", "完成")
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return True
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except Exception as e:
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error(f"恢复姿态时发生错误: {str(e)}", "错误")
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return False
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def run_low_crawl_demo(ctrl, msg, distance=2.0, observe=True):
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"""
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运行完整的低头匍匐前进演示
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参数:
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ctrl: Robot_Ctrl对象
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msg: 控制消息对象
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distance: 期望的前进距离（米）
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observe: 是否输出调试信息
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返回:
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bool: 是否成功完成演示
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"""
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if observe:
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section('开始低头匍匐前进演示', "演示")
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info(f"目标前进距离: {distance} 米", "目标")
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try:
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# 记录起始位置
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start_position = None
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if hasattr(ctrl, 'odo_msg'):
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start_position = list(ctrl.odo_msg.xyz)
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if observe:
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info(f"起始位置: x={start_position[0]:.3f}, y={start_position[1]:.3f}, z={start_position[2]:.3f}", "位置")
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# 步骤1: 过渡到匍匐姿态
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success_transition = transition_to_crawl_position(ctrl, msg, observe)
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if not success_transition:
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error("过渡到匍匐姿态失败", "错误")
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return False
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# 步骤2: 估算需要的步数（每步大约前进0.1-0.15米）
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estimated_steps = max(4, int(distance / 0.12)) # 每步约12cm
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if observe:
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info(f"估算需要执行 {estimated_steps} 步来完成 {distance} 米的移动", "计划")
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# 步骤3: 执行匍匐步态
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success_crawl = low_crawl_gait(ctrl, msg, step_count=estimated_steps, observe=observe)
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if not success_crawl:
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error("执行匍匐步态失败", "错误")
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# 尝试恢复姿态
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recover_from_crawl_position(ctrl, msg, observe)
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return False
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# 步骤4: 恢复到正常姿态
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success_recovery = recover_from_crawl_position(ctrl, msg, observe)
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if not success_recovery:
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error("恢复正常姿态失败", "错误")
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return False
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# 计算实际移动距离
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if start_position and hasattr(ctrl, 'odo_msg'):
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end_position = list(ctrl.odo_msg.xyz)
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actual_distance = math.sqrt(
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(end_position[0] - start_position[0])**2 +
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(end_position[1] - start_position[1])**2
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)
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if observe:
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success(f"演示完成！实际前进距离: {actual_distance:.3f} 米", "完成")
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info(f"结束位置: x={end_position[0]:.3f}, y={end_position[1]:.3f}, z={end_position[2]:.3f}", "位置")
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else:
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if observe:
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success("低头匍匐前进演示完成！", "完成")
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return True
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except Exception as e:
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error(f"执行匍匐演示时发生错误: {str(e)}", "错误")
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# 尝试安全恢复
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try:
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recover_from_crawl_position(ctrl, msg, observe)
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except:
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pass
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return False
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