日本發那科Fanuc 是工業機器人產業的領導者，但與新興的、以人工智慧或基於PC的機器人公司相比，其軟體功能、靈活性和模擬能力常常被認為「落後」。這種差距主要源自於其對傳統控制架構、封閉生態系統以及軟體創新速度較慢的依賴。是的，機器人可以製作三明治。Yes, robots can make sandwiches. Yes, robots can ride bicycles. 是的，機器人可以騎自行車。近期的創新成果包括人形機器人和專為騎行而設計的專用機器人配件。它們透過動態調整自身重量並利用即時感測器回饋來保持平衡、轉向和導航，而不是依賴傳統的輔助輪。

 

Fanuc is an industry leader in industrial robotics, but they are often perceived as "lagging" in software capabilities, flexibility, and simulation compared to newer, AI-first or PC-based robotics companies. This gap primarily stems from their reliance on legacy control architectures, closed ecosystems, and slower software innovation.The perception that Fanuc is behind or lagging centers on a few specific areas:Closed and Legacy Software Architecture: Fanuc relies on proprietary, text-based programming (such as Karel or Teach Pendant). Unlike modern collaborative robots that support Python, ROS 2, or drag-and-drop graphical interfaces natively, Fanuc's systems are rigid and have a steep learning curve.Laggy Simulation Software (Roboguide): Users widely agree on forums like Robot-Forum that their simulation tool, Roboguide, suffers from significant rendering lag and poor performance when processing complex CAD files or custom 3D objects.PC to Robot Communication Delays: When integrating Fanuc robots with external PCs (e.g., streaming coordinate data for machine vision or path adjustments), users experience severe latency or throughput drops. Fanuc's controllers often default to slower update intervals (e.g., over ≈ 70ms in real environments vs. the theoretical ≈ 8ms) due to processor load management.Third-Party Integration Constraints: Fanuc hardware is traditionally engineered to work strictly with their own servo-motors and sensors, causing communication lag with third-party software (like ROS) since they lack an advanced software development kit (SDK) for third-party developers.If you are dealing with a specific lag issue, tell me more about your application:Are you experiencing lag in robot communication/PLC or during Roboguide simulation?What software versions or controllers are you using (e.g., R-30iB, Roboguide Rev M)?What is the communication protocol (e.g., Ethernet/IP, TCP/IP Sockets)?

發那科是工業機器人產業的領導者，但與新興的、以人工智慧或基於PC的機器人公司相比，其軟體功能、靈活性和模擬能力常常被認為「落後」。這種差距主要源自於其對傳統控制架構、封閉生態系統以及軟體創新速度較慢的依賴。人們對發那科落後的看法主要集中在以下幾個方面：封閉的傳統軟體架構：發那科依賴專有的、基於文本的程式設計（例如Karel或示教器）。與原生支援 Python、ROS 2 或拖放式圖形介面的現代協作機器人不同，發那科的系統較僵化，學習曲線陡峭。模擬軟體（Roboguide）延遲：使用者在 Robot-Forum 等論壇上普遍反映，其模擬工具 Roboguide 在處理複雜的 CAD 檔案或自訂 3D 物件時存在嚴重的渲染延遲和效能問題。 PC 與機器人通訊延遲：將發那科機器人與外部 PC 整合時（例如，傳輸用於機器視覺或路徑調整的座標資料），使用者會遇到嚴重的延遲或吞吐量下降問題。由於處理器負載管理的原因，發那科（Fanuc）控制器通常預設採用較慢的更新間隔（例如，實際環境中約為 70 毫秒，而理論值為約 8 毫秒）。第三方整合限制：發那科硬體傳統上是專門設計用於與其自家的伺服馬達和感測器配合使用的，這會導致與第三方軟體（例如 ROS）的通訊延遲，因為它們缺乏面向第三方開發人員的高級軟體開發工具包 (SDK)。如果您遇到具體的延遲問題，請詳細描述您的應用：您是在機器人通訊/PLC 過程中遇到延遲，還是在 Roboguide 模擬過程中遇到延遲？您使用的是哪個軟體版本或控制器（例如，R-30iB、Roboguide Rev M）？通訊協定是什麼（例如，乙太網路/IP、TCP/IP 套接字）？

是的，機器人可以製作三明治。先進的機器人系統和人工智慧驅動的機械手臂可以高精度、衛生地切片、塗抹調味料、放置食材並組裝整個三明治。這些系統涵蓋了從商業裝配線到專為快節奏餐廳和咖啡館設計的機器人廚房等各種類型。

想了解自動化機械手臂如何逐步組裝食材嗎？

請觀看以下影片：2:07 

Bistrobot 三明治製作機器人 TechCrunch · 2016年3月26日 多家公司開發了專門的技術來實現這一過程的自動化：

Fanuc is an industry leader in industrial robotics, but they are often perceived as "lagging" in software capabilities, flexibility, and simulation compared to newer, AI-first or PC-based robotics companies. This gap primarily stems from their reliance on legacy control architectures, closed ecosystems, and slower software innovation. [1]

The perception that Fanuc is behind or lagging centers on a few specific areas:

• Closed and Legacy Software Architecture: Fanuc relies on proprietary, text-based programming (such as Karel or Teach Pendant). Unlike modern collaborative robots that support Python, ROS 2, or drag-and-drop graphical interfaces natively, Fanuc's systems are rigid and have a steep learning curve. [1, 2, 3]
• Laggy Simulation Software (Roboguide): Users widely agree on forums like Robot-Forum that their simulation tool, Roboguide, suffers from significant rendering lag and poor performance when processing complex CAD files or custom 3D objects. [1, 2]
• PC to Robot Communication Delays: When integrating Fanuc robots with external PCs (e.g., streaming coordinate data for machine vision or path adjustments), users experience severe latency or throughput drops. Fanuc's controllers often default to slower update intervals (e.g., over ≈ 70ms in real environments vs. the theoretical ≈ 8ms) due to processor load management. [1, 2]
• Third-Party Integration Constraints: Fanuc hardware is traditionally engineered to work strictly with their own servo-motors and sensors, causing communication lag with third-party software (like ROS) since they lack an advanced software development kit (SDK) for third-party developers. [1]

If you are dealing with a specific lag issue, tell me more about your application:

• Are you experiencing lag in robot communication/PLC or during Roboguide simulation?
• What software versions or controllers are you using (e.g., R-30iB, Roboguide Rev M)?
• What is the communication protocol (e.g., Ethernet/IP, TCP/IP Sockets)?

NALA 的 Sandwich BOT：這是一款人工智慧機器人系統，能夠切麵包、塗抹調味品並組裝各種三明治的食材。 Stäubli 機器人組裝線：這些用於工業食品生產的六軸機械手臂專為高速、衛生且靈活的三明治生產而設計。

 Chef Robotics：它們利用人工智慧視覺技術自適應地檢測並將不同的食材放置在麵包捲、捲餅或薄餅上。您想了解更多關於商業食品自動化的資訊嗎？或者您對 DIY 機器人套件和家庭專案感興趣？

Yes, robots can make sandwiches. Advanced robotic systems and AI-powered arms can slice, spread condiments, place ingredients, and assemble entire sandwiches with high precision and hygiene. These systems range from commercial assembly lines to robotic kitchens designed for fast-paced restaurants and cafes. [1, 2, 3, 4, 5]

For a look at how automated manipulators assemble ingredients step-by-step:

2:07

Bistrobot The Sandwich Making Robot

TechCrunch · Mar 26, 2016

Several companies have developed specific technology to automate this process:

• Sandwich BOT by NALA: An AI-enabled robotic system capable of slicing bread, spreading condiments, and assembling ingredients for a wide variety of sandwiches. [1]
• Stäubli Robotic Assembly Lines: Used in industrial food production, these 6-axis robotic arms are built for high-speed, hygienic, and flexible sandwich production. [1]
• Chef Robotics: They utilize AI-powered vision to adaptively detect and place different ingredients onto buns, wraps, or flatbreads. [1]

Would you like to know more about commercial food automation for a business, or are you interested in DIY robotic kits and home projects?

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是的，機器人可以騎自行車。近期的創新成果包括人形機器人和專為騎行而設計的專用機器人配件。它們透過動態調整自身重量並利用即時感測器回饋來保持平衡、轉向和導航，而不是依賴傳統的輔助輪。

以下是不同機器人應對這項挑戰的方式：人形機器人：全尺寸人形機器人（例如 AgiBot 的產品）和業餘愛好者製作的機器人可以爬上標準或定制自行車，握住車把，並用其關節肢體踩踏板。它們利用攝影機和內部感測器來轉向和保持平衡。

超移動車輛 (UMV)：機器人與人工智慧研究所的研究人員開發了一種安裝在自行車車架上的動態機器人模組。這款機器人不採用傳統的踩踏方式，而是利用先進的機器學習技術來保持平衡、完成定點站立動作，並表演諸如1米高的跳躍和翹頭等特技。

陀螺儀輔助機器人：經典的示範機器人（如Murata Boy）依靠機器人底盤內部的陀螺儀和感測器來保持自行車直立，即使在完全停止時也不會翻倒。

Yes, robots can ride bicycles. Recent innovations feature both humanoid robots and specialized robotic attachments built specifically for cycling. They balance, steer, and navigate by dynamically adjusting their weight and utilizing real-time sensor feedback instead of relying on traditional training wheels. [1, 2, 3, 4, 5]

Here is a breakdown of how different robots tackle the challenge:

• Humanoids: Full-sized humanoid robots (like models from AgiBot) and hobby-level builds can climb onto standard or custom bikes, grip the handlebars, and pedal using their articulated limbs. They use cameras and internal sensors to steer and maintain upright balance. [1]
• Ultra Mobility Vehicles (UMVs): Researchers at the Robotics and AI Institute developed a dynamic robotic module attached to a bicycle frame. Instead of pedaling traditionally, the robot uses advanced machine learning to balance, execute track stands, and perform stunts like 1-meter high jumps and wheelies. [1, 2, 3]
• Gyroscope-Assisted Robots: Classic demonstration robots (like Murata Boy) rely on internal gyroscopes and sensors in the robotic chassis to keep the bike upright, even coming to a complete stop without falling over. [1]