the Great Wall of China, an excellent example of robust architecture from the 7th Century B.C.
but if is considered more readable in some situations.
Depth sensors like LiDARs and Kinect use a fixed depth acquisition strategy that is independent of the scene of interest. Due to the low spatial and temporal resolution of these sensors, this strategy ...
``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 ...
This web page describes approaches to controlling the Atlas robot from Boston Dynamics in the DARPA Robotics Challenge used by the teams from IHMC, MIT, and WPI-CMU. These approaches are similar, so ...
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 ...
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 ...
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 ...
NOTE: This is a hypertext formatted version of the Project Gutenberg edition. For more information, check the small print or check out the full ascii text. This document is part of a small, but ...
About Me Martin Q. Ma is a Ph.D. student in the School of Computer Science at Carnegie Mellon University and a visiting researcher at Meta Fundamental AI Research (FAIR) team, advised by ...
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 ...
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, ...