Now showing items 1-10 of 21
From (Inverse) Optimal Control to Joint (Cooperative) Sequential Manipulation and Motion Planning
With this talk, my aim is to give a more integrated view on my research. I will start with the planning-as-inference framework and its implications in the context of stochastic optimal control. While this, in principle, ...
Towards an Integrated Architecture for Open-World Human-Robot Interactions
“Open-world” human-robot interactions differ significantly from “closed-world” human-robot interactions because not all task-relevant information is available at the beginning of the interaction in the former (while it is ...
Robotic and Haptic Manipulation
Autonomous manipulation remains one of the most important challenges for robots, especially in cluttered environments with uncertainty and unknowns. Haptic simulation of manipulation is highly desirable for virtual training, ...
The Manipulation Action Grammar: A Key to Intelligent Robots
Humanoid robots will need to learn the actions that humans perform. They will need to recognize these actions when they see them and they will need to perform these actions themselves. In this presentation, it is proposed ...
Interactive Sports Analytics: Going Beyond Spreadsheets
Imagine watching a sports game live and having the ability to find all plays which are similar to what just happened immediately. Better still, imagine having the ability to draw a play with the x’s and o’s on an interface, ...
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 ...
Multi-agent Collaboration in Shared Workspace
In the last decades, the use of robots has become a reality in different industrial sectors, such as the automotive and logistic sectors, in terms of automated or semi-automated cells. On the basis of this trend, it is ...
University of Michigan’s Work Toward Autonomous Cars
Self-driving test vehicles have become a reality on roadways, and there is an ever-present push toward making them a consumer product in the not-so-distant future. In this talk, I will give an overview of some of our ...
The Future Has Arrived: Integrating Transformative Technologies in the Workplace
(Georgia Institute of Technology, 2016-11-18)
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 ...