AI News, Kris Hauser

Reports on the 2014 AAAI Fall Symposium Series

The AAAI 2014 Fall Symposium Series was held Thursday through Saturday, November 13–15, at the Westin Arlington Gateway in Arlington, Virginia adjacent to Washington, DC.

The titles of the seven symposia were Artificial Intelligence for Human-Robot Interaction, Energy Market Prediction, Expanding the Boundaries of Health Informatics Using AI, Knowledge, Skill, and Behavior Transfer in Autonomous Robots, Modeling Changing Perspectives: Reconceptualizing Sensorimotor Experiences, Natural Language Access to Big Data, and The Nature of Humans and Machines: A Multidisciplinary Discourse.

The highlights of each symposium are presented in this report.

RI Seminar: Kris Hauser : Beyond Geometric Path Planning

Beyond Geometric Path Planning: Paradigms and algorithms for modern robotics Kris Hauser Associate Professor, Duke University February 03, 2017 Abstract ...

Kris Hauser

RI Seminar : Brenna D. Argall : Human Autonomy through Robotics Autonomy

Brenna D. Argall Assistant Professor of Physical Medicine & Rehabilitation, Northwestern University Abstract It is a paradox that often the more severe a person's ...

RI Seminar: Russ Tedrake: Robust motion planning for walking robots and robotic birds

Robust motion planning for walking robots and robotic birds Russ Tedrake Associate Professor, MIT October 28, 2011 Abstract Building robots that can walk or ...

RI Seminar: Peter Stone : Robot Skill Learning: From the Real World to Simulation and Back

Peter Stone David Bruton, Jr. Centennial Professor, The University of Texas at Austin Abstract For autonomous robots to operate in the open, dynamically ...

RI Seminar : Sven Koenig: Progress on Multi-Robot Path Finding

Sven Koenig Professor, Computer Science Department, University of Southern California (USC) Abstract Teams of robots often have to assign target locations ...

ICAPS 2016: Sampling-based motion planning and its combination with task planning (part 1)

ICAPS 2016 -- Summer School Presentation Title: Sampling-based motion planning and its combination with task planning (part 1) Author: Mark Moll.