A special symposium to present the latest research to come out of the Michigan AI Lab, and celebrate our research accomplishments. The program will comprise presentations by AI Lab grad students of research results presented at conferences over this academic year.

All are welcome to attend.  So that we can get an accurate headcount for food planning, please RSVP by clicking here.

Schedule Overview

8:20  Refreshments available
8:40  Welcome (Wellman)
8:45  Session 1 (7 papers)
10:09  break
10:25  Recognition of student achievements (Baveja)
10:35  Session 2 (7 papers)
11:59  break to pick up and start lunch
12:20  Session 3 (3 papers)
12:56  (program complete)

Detailed List of Presentations, by Session

** indicates presenter

Session 1

IROS (Oct 12 / Vilamoura, Algarve, Portugal)

IEEE/RSJ International Conference on Intelligent Robots and Systems

  • DART: A Particle-Based Method for Generating Easy-To-Follow Directions
    • **Robert Goeddel and Edwin Olson
  • Dynamic visual understanding of the local environment for an indoor navigating robot
    • **Grace Tsai and Benjamin Kuipers
  • Efficient search for correct and useful topological maps
    • **Collin Johnson and Benjamin Kuipers
  • Gaussian Process for Lens Distortion Modeling
    • **Pradeep Ranganathan and Edwin Olson
  • Multi-sensor ATTenuation Estimation (MATTE): Signal-strength prediction for teams of robots
    • **Johannes H. Strom and Edwin Olson

Advances in Cognitive Systems (Dec 12 / Palo Alto, CA)

Conference on Advances in Cognitive Systems

  • Acquiring Grounded Representations of Words with Situated Interactive Instruction
    • **Shiwali Mohan, Aaron Mininger, James Kirk, and John E. Laird

AAMAS (May 13 / St. Paul, MN)

International Conference on Autonomous Agents and Multi-Agent Systems

  • Organizational Design Principles and Techniques for Decision-Theoretic Agents
    • **Jason Sleight and Edmund H. Durfee

Session 2

ICRA (May 13 / Karlsruhe)

IEEE International Conference on Robotics and Automation

  • Autonomous person pacing and following with Model Predictive Equilibrium Point Control
    • **Jong Jin Park and Benjamin Kuipers
  • Learning Convolutional Filters for Interest Point Detection
    • **Andrew Richardson and Edwin Olson
  • VisAGGE: Visible Angle Grid for Glass Environments
    • **Paul Foster, Zhenghong Sun, Jong Jin Park, and Benjamin Kuipers

ICASSP (May 13 / Vancouver)

International Conference on Acoustics, Speech and Signal Processing

  • Emotion Classification via Utterance-Level Dynamics: A Pattern-Based Approach to Characterizing Affective Expressions
    • **Yelin Kim and Emily Mower Provost

NAACL-HLT (Jun 13 / Atlanta)

Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

  • Labeling the Languages of Words in Mixed-Language Documents using Weakly Supervised Methods
    • **Benjamin King and Steven Abney
  • Purpose and Polarity of Citation: Towards NLP-based Bibliometrics
    • **Amjad Abu-Jbara, Jefferson Ezra, and Dragomir Radev

EC (Jun 13 / Philadelphia)

ACM Conference on Electronic Commerce

  • Latency Arbitrage, Market Fragmentation, and Efficiency: A Two-Market Model
    • **Elaine Wah and Michael P. Wellman

Session 3

ICML (Jun 13 / Atlanta)

International Conference on Machine Learning

  • Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines
    • **Kihyuk Sohn, Guanyu Zhou, Chansoo Lee, and Honglak Lee.

AAAI (Jul 13 / Bellevue, WA)

AAAI Conference on Artificial Intelligence

  • Learning Integrated Symbolic and Continuous Action Models for Continuous Domains
    • **Joseph Xu and John E. Laird
  • Preemptive Strategies for Overcoming the Forgetting of Goals
    • **Justin Li and John E. Laird