but if is considered more readable in some situations.

I'm a professor in the Machine Learning Department at Carnegie Mellon. I am also affiliated with the Robotics Institute. I'm interested in multi-agent planning, reinforcement learning, ...

Planning and Decision-making are critical components of autonomy in robotic systems. These components are responsible for making decisions that range from path planning and motion planning to coverage ...

``By itself, this meter does nothing.''-- Excerpt from a disclaimer found in every E-meter book, and on the device itself. In this photo, a course supervisor monitors the performance of student ...

We introduce the heat method for solving the single- or multiple-source shortest path problem on both flat and curved domains. A key insight is that distance computation can be split into two stages: ...

Martial Hebert became dean of Carnegie Mellon University's world-renowned School of Computer Science in August 2019. A leading researcher in computer vision and robotics, he's the sixth dean to lead ...

Encompassing artificial intelligence, graphics, hardware and software systems, programming languages, security and privacy, and theory, the Computer Science Ph.D. program is the foundation of computer ...

The SCS Graduate Application Support Program is an annual student-led initiative made available to applicants to our doctoral programs. Not all pre-college students have access to guidance from people ...

The case of polywater demonstrates how the desire to believe in a new phenomenon can sometimes overpower the demand for solid, well-controlled evidence. In 1966 the Soviet scientist Boris ...

AI for Teachers supports high school educators who want to gain familiarity with AI and offer AI-related educational activities for their students. The workshop covers an introduction to a broad range ...

This algorithm by Greengard is O(n). However, it uses more complicated mathematics and is more difficult to program in 3-dimensions, and has larger constants in its order of complexity. The NESL code.

This paper describes a method for efficiently computing parallel transport of tangent vectors on curved surfaces, or more generally, any vector-valued data on a curved manifold. More precisely, it ...