task summary

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Adaptive Autonomous Robot Teams for Situational Awareness Gaurav S. Sukhatme, Maja J. Mataric, Andrew Howard, Ashley Tews Robotics Research Laboratory University of Southern California http://robotics.usc.edu/projects/mars

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Adaptive Autonomous Robot Teams for Situational Awareness Gaurav S. Sukhatme, Maja J. Mataric, Andrew Howard, Ashley Tews Robotics Research Laboratory University of Southern California http://robotics.usc.edu/projects/mars. Outdoor simulation Cooperative outdoor localization - PowerPoint PPT Presentation

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Page 1: Task Summary

Adaptive Autonomous Robot Teams for Situational Awareness

Gaurav S. Sukhatme, Maja J. Mataric,

Andrew Howard, Ashley Tews

Robotics Research LaboratoryUniversity of Southern California

http://robotics.usc.edu/projects/mars

Page 2: Task Summary

Task Summary• Outdoor simulation

• Cooperative outdoor localization

• Semantic representations

• Stealthy behaviors

• Path-referenced perception

• Human-robot interface

• Integration

Page 3: Task Summary

Simulation• Planned Extensions

– 3D simulation for outdoor terrain.

– Incorporate USC helicopter and UPenn blimp

• Recent Progress: Player – generic driver/interface model – IMU/GPS drivers, laser and

visual fiducial detectors– Supports multiple architectures

(e.g. Solaris, iPAQ)

Page 4: Task Summary

Cooperative Outdoor Localization

• Plans– Extend existing localization

algorithms to outdoor environments.

– Implement outdoor localization in the presence of partial GPS.

– Validate through outdoor experiments with small teams (4 ground robots).

Page 5: Task Summary

Semantic Representation and Activity Recognition

• Semantic mark-up of maps with following attributes: – elevation, terrain type and traversability, foliage and

coverage type, and impact on communications.

• Integrate activity/motion detection algorithms to locate people in the environment.

• Demonstrate semantic markup using ground robots at USC.

Page 6: Task Summary

Variable Autonomy and Stealth

• Develop and implement behaviors for variable autonomy incorporating operator feedback using gestures

• Develop and implement a new “stealthy patrolling” behavior by integrating visibility constraints into current patrolling algorithms

• Adapt and tune above behaviors using reinforcement learning to improve performance

Page 7: Task Summary

Path-referenced Perception and Behaviors

• Develop path-referenced perception and behaviors, which allow recall of behavioral strategy relative to priors paths taken in the mission

• Integrate path-referencing which allows robots to query each other for relative locations of semantic mark-ups

Page 8: Task Summary

Integration• Plans:

– Demonstrations at USC of cooperative localization (laser based with IMU and GPS) using ground robots and USC helicopter.

– Demonstration at USC of activity detection, semantic markup of terrain and stealthy traverses.

– Support joint demonstration with ground robots.

Page 9: Task Summary

Other Progress to Date

• Contract in place: Nov 4, 2002• New Personnel: Nathan Koenig (student),

Emil Birgesson (visitor from Sweden), Ian Kelly (100%), Stefan Hrabar (50%) both as project specialists

• New Robots: – 4 Pioneer 2ATs (Intel gift)– Control boards and IMU under test