2025-05-17 11:27:39 +08:00
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import math
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import time
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import sys
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import os
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sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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from utils.localization_lcmt import localization_lcmt
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2025-05-17 12:34:02 +08:00
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from utils.log_helper import LogHelper, get_logger, section, info, debug, warning, error, success, timing
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# 创建本模块特定的日志记录器
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logger = get_logger("直线移动")
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2025-05-17 11:27:39 +08:00
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def go_straight(ctrl, msg, distance, speed=0.5, observe=False):
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"""
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控制机器人沿直线行走指定距离
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参数:
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ctrl: Robot_Ctrl 对象,包含里程计信息
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msg: robot_control_cmd_lcmt 对象,用于发送命令
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distance: 要行走的距离(米),正值为前进,负值为后退
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speed: 行走速度(米/秒),范围0.1~1.0,默认为0.5
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observe: 是否输出中间状态信息,默认为False
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返回:
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bool: 是否成功完成行走
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"""
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# 参数验证
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if abs(distance) < 0.01:
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2025-05-17 12:34:02 +08:00
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info("距离太短,无需移动", "信息")
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2025-05-17 11:27:39 +08:00
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return True
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# 限制速度范围
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speed = min(max(abs(speed), 0.1), 1.0)
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# 确定前进或后退方向
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forward = distance > 0
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move_speed = speed if forward else -speed
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abs_distance = abs(distance)
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# 获取起始位置
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start_position = list(ctrl.odo_msg.xyz)
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start_yaw = ctrl.odo_msg.rpy[2] # 记录起始朝向,用于保持直线
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if observe:
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2025-05-17 12:34:02 +08:00
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debug(f"起始位置: {start_position}", "位置")
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info(f"开始{'前进' if forward else '后退'} {abs_distance:.3f}米,速度: {abs(move_speed):.2f}米/秒", "移动")
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2025-05-17 11:27:39 +08:00
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# 在起点放置标记
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if hasattr(ctrl, 'place_marker'):
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ctrl.place_marker(start_position[0], start_position[1],
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start_position[2] if len(start_position) > 2 else 0.0,
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'green', observe=True)
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# 设置移动命令
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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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# 根据需要移动的距离动态调整移动速度
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if abs_distance > 1.0:
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actual_speed = move_speed # 距离较远时用设定速度
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elif abs_distance > 0.5:
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actual_speed = move_speed * 0.8 # 中等距离略微降速
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elif abs_distance > 0.2:
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actual_speed = move_speed * 0.6 # 较近距离降低速度
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else:
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actual_speed = move_speed * 0.4 # 非常接近时用更慢速度
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# 设置移动速度和方向
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msg.vel_des = [actual_speed, 0, 0] # [前进速度, 侧向速度, 角速度]
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msg.duration = 0 # wait next cmd
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msg.step_height = [0.06, 0.06] # 抬腿高度
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msg.life_count += 1
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# 发送命令
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ctrl.Send_cmd(msg)
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# 估算移动时间,但实际上会通过里程计控制
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estimated_time = abs_distance / abs(actual_speed)
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timeout = estimated_time + 3 # 增加超时时间为预计移动时间加3秒
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# 使用里程计进行实时监控移动距离
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distance_moved = 0
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start_time = time.time()
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last_position = start_position
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# 动态调整参数
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angle_correction_threshold = 0.05 # 角度偏差超过多少弧度开始修正
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slow_down_ratio = 0.85 # 当移动到目标距离的85%时开始减速
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completion_threshold = 0.95 # 当移动到目标距离的95%时停止
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position_check_interval = 0.1 # 位置检查间隔(秒)
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last_check_time = start_time
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# 监控移动距离
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while distance_moved < abs_distance * completion_threshold and time.time() - start_time < timeout:
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current_time = time.time()
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# 按固定间隔检查位置,减少计算负担
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if current_time - last_check_time >= position_check_interval:
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# 获取当前位置和朝向
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current_position = ctrl.odo_msg.xyz
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current_yaw = ctrl.odo_msg.rpy[2]
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# 计算已移动距离
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dx = current_position[0] - start_position[0]
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dy = current_position[1] - start_position[1]
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distance_moved = math.sqrt(dx*dx + dy*dy)
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# 计算移动方向与初始朝向的偏差
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movement_direction = math.atan2(current_position[1] - last_position[1],
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current_position[0] - last_position[0]) if distance_moved > 0.05 else start_yaw
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yaw_error = movement_direction - start_yaw
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# 角度归一化
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while yaw_error > math.pi:
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yaw_error -= 2 * math.pi
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while yaw_error < -math.pi:
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yaw_error += 2 * math.pi
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# 计算完成比例
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completion_ratio = distance_moved / abs_distance
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# 根据距离完成情况调整速度
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if completion_ratio > slow_down_ratio:
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# 计算减速系数
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slow_factor = 1.0 - (completion_ratio - slow_down_ratio) / (1.0 - slow_down_ratio)
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# 确保不会减速太多
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slow_factor = max(0.2, slow_factor)
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new_speed = actual_speed * slow_factor
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if observe and abs(new_speed - msg.vel_des[0]) > 0.05:
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2025-05-17 12:34:02 +08:00
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info(f"减速: {msg.vel_des[0]:.2f} -> {new_speed:.2f} 米/秒 (完成: {completion_ratio*100:.1f}%)", "移动")
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2025-05-17 11:27:39 +08:00
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msg.vel_des[0] = new_speed
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msg.life_count += 1
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ctrl.Send_cmd(msg)
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# 如果偏离初始方向,进行角度修正
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if abs(yaw_error) > angle_correction_threshold:
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# 计算角速度修正值,偏差越大修正越强
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angular_correction = -yaw_error * 0.5 # 比例系数可调整
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# 限制最大角速度修正
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angular_correction = max(min(angular_correction, 0.2), -0.2)
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if observe and abs(angular_correction) > 0.05:
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2025-05-17 12:34:02 +08:00
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warning(f"方向修正: 偏差 {math.degrees(yaw_error):.1f}度,应用角速度 {angular_correction:.3f}rad/s", "角度")
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2025-05-17 11:27:39 +08:00
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# 应用角速度修正
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msg.vel_des[2] = angular_correction
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msg.life_count += 1
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ctrl.Send_cmd(msg)
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elif msg.vel_des[2] != 0:
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# 如果方向已修正,重置角速度
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msg.vel_des[2] = 0
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msg.life_count += 1
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ctrl.Send_cmd(msg)
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if observe and current_time - start_time > 1 and (current_time % 0.5 < position_check_interval):
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2025-05-17 12:34:02 +08:00
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debug(f"已移动: {distance_moved:.3f}米, 目标: {abs_distance:.3f}米 (完成: {completion_ratio*100:.1f}%)", "距离")
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debug(f"当前速度: [{msg.vel_des[0]:.2f}, {msg.vel_des[1]:.2f}, {msg.vel_des[2]:.2f}]", "移动")
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2025-05-17 11:27:39 +08:00
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# 更新最后检查时间和位置
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last_check_time = current_time
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last_position = current_position
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time.sleep(0.01) # 小间隔检查位置
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# 平滑停止
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if hasattr(ctrl.base_msg, 'stop_smooth'):
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ctrl.base_msg.stop_smooth()
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else:
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ctrl.base_msg.stop()
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# 获取最终位置和实际移动距离
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final_position = ctrl.odo_msg.xyz
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dx = final_position[0] - start_position[0]
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dy = final_position[1] - start_position[1]
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actual_distance = math.sqrt(dx*dx + dy*dy)
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if observe:
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2025-05-17 12:34:02 +08:00
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success(f"移动完成,从里程计计算的移动距离: {actual_distance:.3f}米", "完成")
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2025-05-17 11:27:39 +08:00
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# 在终点放置标记
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if hasattr(ctrl, 'place_marker'):
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ctrl.place_marker(final_position[0], final_position[1],
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final_position[2] if len(final_position) > 2 else 0.0,
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'red', observe=True)
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# 判断是否成功完成
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distance_error = abs(actual_distance - abs_distance)
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2025-05-18 07:57:15 +00:00
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go_success = distance_error < 0.1 # 如果误差小于10厘米,则认为成功
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2025-05-17 11:27:39 +08:00
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if observe:
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2025-05-17 12:34:02 +08:00
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info(f"目标距离: {abs_distance:.3f}米, 实际距离: {actual_distance:.3f}米, 误差: {distance_error:.3f}米", "距离")
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2025-05-18 07:57:15 +00:00
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if go_success:
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success(f"移动成功", "成功")
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else:
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warning(f"移动失败,误差过大: {distance_error:.3f}米", "失败")
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2025-05-18 07:57:15 +00:00
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return go_success
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2025-05-17 11:27:39 +08:00
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# 用法示例
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if __name__ == "__main__":
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# 这里是示例代码,实际使用时需要提供合适的ctrl和msg对象
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# 前进1米
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# go_straight(ctrl, msg, 1.0, speed=0.5, observe=True)
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# 后退0.5米
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# go_straight(ctrl, msg, -0.5, speed=0.3, observe=True)
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pass
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