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Gita Sukthankar
PhD Student
No longer a member of RI.
For more information, see my personal homepage.
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Research interests |
Labs & Groups |
Projects |
Publications
My research is in the area of multi-agent plan recognition; currently I am working on the problem of recognizing tactical plans from spatio-temporal traces of military teams in urban settings. My thesis addresses the novel problem of recovering agent-to-team assignment for team tasks where team composition, the mapping of agents into teams, changes over time. I have also done research on the problem of recognizing human physical behaviors from motion capture traces, improving planning fidelity by modeling the physical capabilities of agents, and developing visualizations for live action gaming.
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Intelligent Software Agents - Here, researchers explore multi-agent planning and
scheduling, multi-agent learning, multi-agent negotiation,
and decision support for human teams
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Agent Storm - Agent Storm is a scenario where agents autonomously coordinate their team-oriented roles and actions while executing a mission.
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Agent-based Composition of Behavioral Models - This project focuses on accurately modeling human physical behaviors; these models are used 1) to create computer generated forces (CGFs) that exhibit human-like behavior and 2) to recognize physical behaviors performed by trainees in a MOUT (Military Operations in Urban Terrain) team training simulation.
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Aircraft Maintenance - A wearable software system that uses RETSINA agents to assist in the
process of documenting and making repairs to aircraft.
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- Communications for Agent-based Human Team Support
G. Sukthankar, K. Sycara, J.A. Giampapa, C. Burnett, and A. Preece
Organizations in Multi-Agent Systems, Virginia Dignum, ed., IGI-Global (http://www.igi-pub.com/) Handbook of Research, Information Science Reference, Hershey, Pennsylvania, U.S.A., 2009.
[Abstract]
- Hypothesis Pruning and Ranking for Large Plan Recognition Problems
G. Sukthankar and K. Sycara
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-08), June, 2008.
[Abstract]
Download: pdf [139 KB] copyrighted
- Robust and Efficient Plan Recognition for Dynamic Multi-agent Teams (Short Paper)
G. Sukthankar and K. Sycara
Proceedings of 7th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), International Foundation for Autonomous Agents and Multiagent Systems, May, 2008.
[Abstract]
Download: pdf [91 KB] copyrighted
- A Model of Human Teamwork for Agent-Assisted Search Operations
G. Sukthankar, K. Sycara, J.A. Giampapa, and C. Burnett
NATO Research and Technology Organisation: Human Factors and Medicine Panel Symposium (NATO HFM-142/RTO Symposium), NATO RTA / HFM, B.P. 25, 7 Rue Ancelle, F-92201 Neuilly-sur-Seine Cedex, France, April, 2008.
[Abstract]
Download: pdf [359 KB] copyrighted
- Creating physically embodied agents using realistic human motion models
G. Sukthankar, M. Mandel, and K. Sycara
Journal on Simulation and Gaming, Special Issue on AI Techniques, Vol. 39, No. 1, March, 2008, pp. 64-83.
[Abstract]
Download: pdf [2084 KB] copyrighted
- Efficient Plan Recognition for Dynamic Multi-agent Teams
G. Sukthankar and K. Sycara
Proceedings of the Grace Hopper Conference, October, 2007.
[Abstract]
- Towards a Model of Agent-Assisted Team Search
G. Sukthankar, K. Sycara, J.A. Giampapa, C. Burnett, and A. Preece
Proceedings of the Annual Conference of the International Technology Alliance in Network and Information Science, September, 2007.
[Abstract]
Download: pdf [359 KB] copyrighted
- Activity Recognition for Agent Teams
G. Sukthankar
doctoral dissertation, tech. report CMU-RI-TR-07-23, Robotics Institute, Carnegie Mellon University, July, 2007.
[Abstract]
Download: pdf [6176 KB] copyrighted
- Policy Recognition for Multi-Player Tactical Scenarios
G. Sukthankar and K. Sycara
Proceedings of International Conference on Autonomous Agents and Multi-agent Systems (AAMAS), May, 2007.
[Abstract]
Download: pdf [3276 KB] copyrighted
- Literature Review of Teamwork Models
K. Sycara and G. Sukthankar
tech. report CMU-RI-TR-06-50, Robotics Institute, Carnegie Mellon University, November, 2006.
[Abstract]
Download: pdf [79 KB] copyrighted
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