Robotics Engineers

德国机器人公司Neura Robotics完成14亿美元融资，获亚马逊、英伟达等多方支持，旨在加速构建全球领先的物理人工智能平台。这项投资将增强机器人工程领域的能力。

36氪独家报道，字节跳动计划在2026年大幅投资世界模型训练，目标是达到全球SOTA水平，尤其是在具身智能和人形机器人领域。文章提到字节的AI Lab（包含Robotics团队）已并入Seed团队，旨在提升模型与具身智能应用之间的沟通效率。尽管还涉及编码AI、视频生成和豆包商业化，但世界模型和具身智能的核心发展与机器人工程师的工作直接相关。

OpenAI 宣布进军机器人领域，招聘工程师开发辅助型机器人。此外，Sharpa 与英伟达合作，将触觉灵巧操作能力引入 NVIDIA Isaac GR00T 人形机器人。这些进展表明机器人工程领域的能力和需求正在扩大。

熵约科技获种子轮融资，其首款产品Flyer O1是一款针对家庭空间的飞行机器人，定位为“智能管家”。产品具备自主巡航、感知异动、日程协调、卫生巡检、物品管理和语音交互等功能，核心技术基于认知机器人和多模态AI，为机器人工程师的研发方向提供了新的案例和能力更新。

Meta acquired the humanoid robotics startup Assured Robot Intelligence to strengthen its AI models for robots, indicating a significant investment in humanoid AI and robotics development.

Physical Intelligence, a robotics startup, unveiled π0.7, a new robot brain capable of learning and performing tasks it was never explicitly taught, marking a step towards general-purpose robot intelligence.

Python is essential for AI development and high-level robotics programming due to its extensive libraries (TensorFlow, PyTorch, OpenCV). C/C++ is crucial for embedded systems and real-time control. Many robotics engineers also use MATLAB for simulation and algorithm development before implementation. Q2: How is robotics AI different from traditional industrial automation?

Robotics engineers today need to know more than just mechanics; they need to be AI fluent. With a Master’s in AI Robotics and Automation, you’ll be able to engineer systems that learn and adapt to the modern day.

“Large structure production has long resisted automation because of its scale, complexity and low production volume,” said Professor Christian Schlette, leader of the LSP Center. “But with new robotic systems, AI-driven process planning and digital twin technologies, we can begin to change that.” · The LSP Center is designed as a full-scale testbed and development environment, bringing together academia, robotics engineers and leading industrial partners to co-create scalable, transferable technologies.

I think we are a long ways away from being concerned that AI will replace the role of a roboticist. The folks that have very little experience in automation and robotics tend to have the greatest concern and loudest voices, while the folks who are in the trenches solving real world business problems see how fragile these ML/AI systems actually are and what is required to actually have them working…