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James Park - Shape Machine and Parametrics

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

From  Kathryn Gentilello 2 Days ago 2 views 0  

Tzu-Chieh Kurt Hong - Shape Machine and Interpreters

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

From  Kathryn Gentilello 2 Days ago 2 views 0  

Cvetelina Hill - Shape Machine and Shape Signature

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

From  Kathryn Gentilello 2 Days ago 2 views 0  

Cody Fleming - Safety of Autonomous Systems: Challenges in Coordination, Consistency, and Integration

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…

From  Kathryn Gentilello A week ago 7 views 0  

Sanjeev Srivastava - AI Driven Design Approach

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.…

From  Kathryn Gentilello A week ago 4 views 0  

Leslie Kaelbling - Doing for Our Robots What Nature Did for Us

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…

From  Kathryn Gentilello 3 Weeks ago 5 views 0  

Fumin Zhang - Mobile Data Collection in an Aquatic Environment: Cyber Maritime Cycles for Distributed Autonomy

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…

From  Kathryn Gentilello A month ago 6 views 0  

Oliver Brdicka - Contextual AI - The Next Frontier Towards Human-Centric Artificial Intelligence

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…

From  Kathryn Gentilello A month ago 6 views 0  

Matthew T. Mason - Robotic Manipulation: A Broadening 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…

From  Kathryn Gentilello A month ago 20 views 0  

Karen Feigh - Human Teacher’s Perception of Teaching Methods for Machine Learning Algorithms

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…

From  Kathryn Gentilello 2 Months ago 2 views 0  

Sangbae Kim - Robots for Physical Interaction

While robots dominate repetitive works in factories, the design and control of these robots are not suitable for relatively complex tasks that humans do easily. These tasks typically require force…

From  Kathryn Gentilello 2 Months ago 8 views 0  

Frank Dellaert - Factor Graphs for Flexible Inference in Robotics and Vision

In robotics and computer vision, simultaneous localization and mapping (SLAM) and structure from motion (SFM) are important and closely related problems. I will review how SLAM, SFM, and other…

From  Kathryn Gentilello 3 Months ago 60 views 0  

Jan Ernst - Automated Perception in the Real World: The Problem of Scarce Data

Machine perception is a key step toward artificial intelligence in domains such as self-driving cars, industrial automation, and robotics. Much progress has been made in the past decade, driven by…

From  Kathryn Gentilello 4 Months ago 4 views 0  

Mohit Bansal - Multimodal, Personable, and Knowledgeable Language Generation

In this talk, I will discuss my group's recent work on state-of-the-art natural language generation (NLG) and dialogue models that are multimodal, personality-based, and knowledge-rich. First,…

From  Kathryn Gentilello 4 Months ago 7 views 0  

Benjamin Recht - The Statistical Foundations of Learning to Control

Given the dramatic successes in machine learning and reinforcement learning over the past half decade, there has been a surge of interest in applying these techniques to continuous control problems…

From  Kathryn Gentilello 4 Months ago 39 views 0  

Graham Poliner - Practical Applications of Signal Processing and Machine Learning in a Dynamic Retail Environment

The retail industry is the midst of rapid change due to intensifying competition from fragmented and non-traditional sources, expansion of assortment breadth and product availability, and more…

From  Kathryn Gentilello 5 Months ago 41 views 0