- November 2018 - The proceedings are now published here and the papers are below.
- October 2018 - The symposium was held in Arlington, VA!
- October 2018 - Maarten Sierhuis has joined as an invited speaker!
- September 2018 - The schedule has been posted below.
- August 2018 - Papers have been accepted: 12 long and 6 short!
- July 2018 - Invited speakers include Nick Hawes, Tom Wagner, and Peter Wurman!
- July 2018 - Nissan Research Center Silicon Valley is sponsoring the symposium!
- June 2018 - Program committee has been formed.
- May 2018 - The LTA 2018 website has been launched.
Over the past decade, decision-making agents have been increasingly deployed in industrial settings, consumer products, healthcare, education, and entertainment. The development of drone delivery services, virtual assistants, and autonomous vehicles have highlighted numerous challenges surrounding the operation of autonomous systems in unstructured environments. This includes mechanisms to support autonomous operations over extended periods of time, techniques that facilitate the use of human assistance in learning and decision-making, learning to reduce the reliance on humans over time, addressing the practical scalability of existing methods, relaxing unrealistic assumptions, and alleviating safety concerns about deploying these systems.
This symposium aims to identify the challenges and bridge the gaps between theoretical frameworks for planning and learning in autonomous agents and the requirements imposed by deployment in the real world. Our goal is to help identify research avenues that can move the AI community beyond highly theoretical results for simple domains or highly engineered one-shot solutions for realistic applications. We seek papers that find a common middle ground between theory and applications, and analyze the lessons learned from these efforts, particularly with respect to long-term autonomy.
The symposium combines invited talks, presentations, and discussions from both an AI and a robotics perspective.
Topics of interest include, but are not limited to, the following:
- Decision-making representations, models, and algorithms for the real world
- Hierarchical and multi-objective solutions for scalable planning and learning
- Efficient integrations of task and motion planning
- Integrating planning, reasoning, and learning for long-term deployments
- Safety in real-world decision-making and learning
- Scalable multiagent and human-in-the-loop techniques
- Proactively incorporating human feedback in decision-making
- Leveraging the complimentary capabilities of humans and robots in real-world tasks
- Evaluation metrics for long-term autonomy
- Case studies and descriptions of deployed autonomous systems
- Lessons learned from deployed applications of autonomous systems
Paper Submission Deadline:
Tuesday, July 31, 2018
Notification of Acceptance:
Tuesday, August 14, 2018
Friday, September 14, 2018
Thursday, October 18, 2018 to
Friday, October 19, 2018
Speaker: Dr. Nick Hawes, Associate Professor of Robotics at the University of Oxford
Title: Learning From Four Years of Mobile Autonomy
Abstract: In this talk I will look back over four years of long-term deployments of autonomous mobile robots in everyday environments. From this I will present examples of the kinds of things that mobile robots can learn over long autonomous operations in such environments, including navigation information, human activities, object models, and mission schedules. Following this I will explore the issues (software, hardware, and social) that impacted upon the autonomy of our deployed robots, and look at what we can learn from these experiences as both AI practitioners and as engineers deploying robots in real environments.
Speaker: Dr. Maarten Sierhuis, Chief Technology Director at Nissan Research Center - Silicon Valley, Founder of Ejenta
Title: Seamless Autonomous Mobility (SAM)
Abstract: "Advances in artificial intelligence are making vehicles smarter, more responsive, and better at making decisions in a variety of driving
environments. But we are still not at a point where autonomous vehicles can know exactly how to handle unpredictable situations. This is one of the
roadblocks to realizing a fully autonomous future for driving. The solution is Nissan’s Seamless Autonomous Mobility system or SAM." See more here.
Speaker: Dr. Peter Wurman, VP of Engineering at Cogitai, Former Co-founder of Kiva Systems
Title: The Disruptive Power of Robots
Abstract: Kiva Systems introduced swarms of agile robots into an industry dominated by stationary conveyor systems. The path from concept through successful startup and eventual acquisition involved challenges on all fronts. In this talk I’ll explain the business problem that motivated the innovation, Kiva technology and the benefits it brought to customers, and the future of applications of robotics in warehouses.
The proceedings are published here. Individual papers with their corresponding bibliographic information are provided below as well.
Session #1 - Planning - Session Chair: Kyle Wray
A Practical Distributed Knowledge-Based Reasoning and Decision-Theoretic Planning for Multi-robot Service Systems
Abdel-Illah Mouaddib and Laurent Jeanpierre
Risk-Aware Planning by Extracting Uncertainty from Deep Learning-Based Perception
Maymoonah Toubeh and Pratap Tokekar
Towards Perception Aware Task-Motion Planning
Antony Thomas, Sunny Amatya, Fulvio Mastrogiovanni, and Marco Baglietto
From Abstract to Executable Models for Multi-Agent Path Finding on Real Robots [Short Presentation]
Roman Barták, Jiří Švancara, Věra Škopková, and David Nohejl
Session #2 - Architectures and Models - Session Chair: Abdel-Illah Mouaddib
SOMA: A Framework for Understanding Change in Everyday Environments Using Semantic Object Maps
Lars Kunze, Hakan Karaoguz, Jay Young, Ferdian Jovan, John Folkesson, Patric Jensfelt, and Nick Hawes
SocialAnnotator: Annotator Selection Using Activity and Social Context
H. M. Sajjad Hossain and Nirmalya Roy
Policy Networks for Reasoning in Long-Term Autonomy
Kyle Hollins Wray and Shlomo Zilberstein
LAAIR: A Layered Architecture for Autonomous Interactive Robots
Yuqian Jiang, Nick Walker, Minkyu Kim, Nicolas Brissonneau, Daniel S. Brown, Justin W. Hart, Scott Niekum, Luis Sentis, and Peter Stone
Using hierarchical expectations grounded in perception for failure reasoning during task execution [Short Presentation]
Priyam Parashar, Henrik I. Christensen, and Ashok K. Goel
Session #3 - Reinforcement Learning - Session Chair: Roman Barták
Partial Policy Re-use in Connected Health Systems
Matthew Saponaro and Keith Decker
Predictions, Surprise, and Predictions of Surprise in General Value Function Architectures
Johannes Günther, Alex Kearney, Michael R. Dawson, Craig Sherstan, and Patrick M. Pilarski
Multi-Fidelity Model-Free Reinforcement Learning with Gaussian Processes
Varun Suryan, Nahush Gondhalekar, and Pratap Tokekar
Evaluating Predictive Knowledge [Short Presentation]
Alex Kearney, Anna Koop, Craig Sherstan, Johannes Günther, Richard Sutton, Patrick Pilarski, and Matthew Taylor
Session #4 - Real-World Systems - Session Chair: David Kortenkamp
Learning and Generalisation of Primitives Skills Towards Robust Dual-arm Manipulation
Èric Pairet, Paola Ardón, Frank Broz, Michael Mistry, and Yvan Petillot
Towards Robust Grasps: Using the Environment Semantics for Robotic Object Affordances
Paola Ardón, Èric Pairet, Subramanian Ramamoorthy, and Katrin Solveig Lohan
Behavior Modeling for Autonomous Driving
Aniket Bera and Dinesh Manocha
Deep CNN and Probabilistic DL Reasoning for Contextual Affordances
Hazem Abdelkawy, Sandro Rama Fiorini, Abdelghani Chibani, Naouel Ayari, and Yacine Amirat
Big Data and Deep Learning Models for Automatic Dependent Surveillance Broadcast (ADS-B) [Short Presentation]
Ying Zhao, Richard Wu, Matthew Xi, Andrew Polk, and Tony Kendall
Papers will be presented either in a long presentation format (25 minute) or short presentation format (15 minute) based on paper length and relevance to long-term autonomy (LTA).
To focus the discussion on the symposium's topic, all presentations should reserve 3-5 minutes at the end of their talk to relate their paper directly to long-term autonomy. They can provide their brief perspectives on the topic if appropriate as well. The idea is to complete the talk by taking a step back and examining: (1) how the work falls within the broader scope of long-term autonomy, and (2) any other problems, solutions, challenges, applications, questions, etc. outside the current work might be interesting to the research community working on long-term autonomy.
Thus, long presentations should follow the structure: 15 minutes of paper content, then 5 minutes of relations to LTA, and then 5 minutes of Q&A. Short presentations should follow the structure: 10 minutes of paper content, then 3 minutes of relations to LTA, and then 2 minutes of Q&A.
The panel discussion will conclude the symposium with reflections and perspectives from the invite talks and papers on the state of long-term autonomy overall.
Moderator: Joydeep Biswas, University of Massachusetts Amherst
The panel members will include the invited speakers.
Tentative Program Schedule
Thursday, October 18
|8:50 am - 9:00 am ||Welcome|
|9:00 am - 10:30 am ||Session #1 - Planning (3 Long, 1 Short)|
|10:30 am - 11:00 am ||Coffee Break|
|11:00 am - 12:00 pm ||Invited Talk #1 - Dr. Nick Hawes|
|12:00 pm - 1:30 pm ||Lunch Break|
|1:30 pm - 3:30 pm ||Session #2 - Architectures and Models (4 Long, 1 Short)|
|3:30 pm - 4:00 pm ||Coffee Break|
|4:00 pm - 5:00 pm ||Invited Talk #2 - Dr. Maarten Sierhuis|
|6:00 pm - 7:00 pm ||AAAI Symposia Reception|
Friday, October 19
|9:00 am - 10:30 am ||Session #3 - Reinforcement Learning (3 Long, 1 Short)|
|10:30 am - 11:00 am ||Coffee Break|
|11:00 am - 12:00 pm ||Invited Talk #3 - Dr. Peter Wurman|
|12:00 pm - 1:30 pm ||Lunch Break|
|1:30 pm - 3:30 pm ||Session #4 - Real-World Systems (4 Long, 1 Short)|
|3:30 pm - 4:00 pm ||Coffee Break|
|4:00 pm - 5:00 pm ||Panel Discussion|
|6:00 pm - 7:00 pm ||AAAI Plenary Session|
Saturday, October 20
This symposium will not hold anything on the final half-day.
- Joydeep Biswas, University of Massachusetts Amherst
- Jeremy Frank, NASA Ames Research Center
- Nick Hawes, University of Oxford
- David Hsu, National University of Singapore
- Erez Karpas, Technion - Israel Institute of Technology
- Mykel Kochenderfer, Stanford University
- Sven Koenig, University of Southern California
- George Konidaris, Brown University
- Abdel-Illah Mouaddib, University of Caen Normandy
- Nicholas Roy, Massachusetts Institute of Technology
- Reid Simmons, Carnegie Mellon University
- Matthijs Spaan, Delft University of Technology
- Siddharth Srivastava, Arizona State University
- Kiri Wagstaff, NASA Jet Propulsion Laboratory
- Shiqi Zhang, The State University of New York at Binghamton
Please direct questions regarding the symposium to "longtermautonomy2018 'at' gmail.com".