Now showing items 1-6 of 6
Decision Making in Robots and Animals
Current artificial intelligence systems for perception and action incorporate a number of techniques: optimal observer models, Bayesian filtering, probabilistic mapping, trajectory planning, dynamic navigation, and feedback ...
Efficient Lifelong Machine Learning
Lifelong learning is a key characteristic of human intelligence, largely responsible for the variety and complexity of our behavior. This process allows us to rapidly learn new skills by building upon and continually ...
Words, Pictures, and Common Sense
As computer vision and natural language processing techniques are maturing, there is heightened activity in exploring the connection between images and language. In this talk, I will present several recent and ongoing ...
Closing the Gap Between Machine Learning and Robotics
Given a stream of multimodal sensory data, an autonomous robot must continuously refine its understanding of itself and its environment as it makes decisions on how to act to achieve a goal. These are difficult problems ...
Improving Multi-Fingered Robot Manipulation by Unifying Learning and Planning
(Georgia Institute of Technology, 2019-09-11)
Multi-fingered hands offer autonomous robots increased dexterity, versatility, and stability over simple two-fingered grippers. Naturally, this increased ability comes with increased complexity in planning and executing ...
Robot Learning: Quo Vadis?
(Georgia Institute of Technology, 2020-11-18)
Autonomous robots that can assist humans in situations of daily life have been a long standing vision of robotics, artificial intelligence, and cognitive sciences. A first step towards this goal is to create robots that ...