Search for tag: "machining"

Making use of visual display technology and human-robotic interfaces, many researchers have illustrated various opportunities to distort visual and physical realities. We have had success with…

The talk presents the current state-of-the-art of the Shape Machine, a new computational, visual and disruptive technology, to leading experts in various fields including AI, engineering, computer…

This talk presents the importance of Computer Vision and Deep learning techniques in making Magic Leap an effective spatial computing platform. The four fundamental modalities are introduced: head…

This symposium presents the current state-of-the-art of the Shape Machine, a new computational, visual and disruptive technology, to leading experts in various fields including AI, engineering,…

3:30 5:00 PM - Panel and Final DiscussionGeorge Stiny, PhD, MIT Terry Knight, PhD, MIT Chris Earl, PhD, Open University Alison McKay, PhD, University of Leeds Ulrich Flemming, PhD, CMU Dennis…

11:30 - 11:45 AM - Shape Machine and Architecture Theory Heather Ligler, AIA, MSArch PhD Candidate and Research Assistant Shape Computation Lab Georgia Institute of Technology

11:15 - 11:30 AM - Shape Machine and Parametrics James Park, BSArch, MArch PhD Student and Research Assistant Shape Computation Lab Georgia Institute of Technology

11:00- 11:15AM - Shape Machine and Interpreters Tzu-Chieh Kurt Hong, BE, ME PhD Student and Research Assistant Shape Computation Lab Georgia Institute of Technology

10:45 - 11:00 AM - Shape Machine and Shape Signature Cvetelina Hill, MS Math PhD Student School of Mathematics Georgia Institute of Technology

Recent issues with the Boeing 737-MAX point to challenges in software engineering and the algorithms that the software must implement. However, the 737-MAX is a microcosm of several other problems…

Design Space Exploration (DSE) is an activity that is performed to systematically analyze several design points and then select the design(s) based on parameters of interest and design requirements.…

We, as robot engineers, have to think hard about our role in the design of robots and how it interacts with learning, both in “the factory” (that is, at engineering time) and in…

There is a perceivable trend for robots to serve as networked mobile sensing platforms that are able to collect data in aquatic environments in unprecedented ways. We argue that the effective…

This talk motivates a more human-centric wave of AI, dubbed Contextual AI. Contextual AI does not refer to a specific algorithm or machine learning method - instead, it takes a human-centric view…

Mason will discuss a rambling mashup of topics in robotic manipulation, manipulation by apes and humans, early research on manipulation in the blocks world, more recent research motivated by…

A goal of interactive machine learning (IML) is to create robots or intelligent agents that can be easily taught how to perform tasks by individuals with no specialized training. To achieve that…