Since its founding in 1979, the Robotics Institute at Carnegie Mellon University has been leading the world in robotics research and education. The Robotics Institute offers Doctoral and Master's Degrees in robotics, industrial automation and computer …

Master of Science Program (MSR) The robotics master of science program brings together areas of robotics research that would otherwise be spread across different departments or separate universities, preparing students to take a leading role in the research and development of future generations of integrated robotics technologies

Robotics Education at CMU: MSR and PhD in Robotics. MRSD and MS-CV are 2-year industry-centric programs focused on automation and computer vision.

Carnegie Mellon Robotics Academy studies how educators can use robots to teach Computer Science, Science, Technology, Engineering, and Mathematics (CS-STEM). Our mission is to use the educational affordances of robotics to create CS-STEM opportunities for all learners.

Now, starting in the Fall of 2023, it is proud to offer an undergraduate Bachelor of Science in Robotics (BSR). BSR teaches students how to create, program, and use robotics to solve real world problems. It is an interdisciplinary program taught from the computer science perspective.

CMU Robotics Institute （简称RI），隶属于卡耐基计算机学院（School of Computer Science），是构成CMU CS体系里重要的分支之一。 RI创建于1976年，随着30多年一代代的天才们不断开拓创新，RI在无人驾驶，智能制…

The MSR program application is available via Robotics MS program graduate application portal. The application opens in September and.

We pursue research in particular in effective real-time mobile robot localization and navigation algorithms, symbiotic human-robot interaction, and multi-task multi-robot dynamic task planning. The CoBot robots are capable of reliably autonomously localization and navigation in our buildings (Gates Hillman Center and Newell and Simon Hall ...

2025年2月17日 · This course presents an overview of robotics in practice and research with topics including vision, motion planning, mobile mechanisms, kinematics, inverse kinematics, and sensors. In course projects, students construct robots which are driven by a microcontroller, with each project reinforcing the basic principles developed in lectures.

Robotics, Embodied AI and Learning (REAL) hosts a team of researchers and scientists who are elevating the role of robots from tools to partners, working side by side with humans to solve complex real-world challenges.