Robotics and Artificial Intelligence. Rodney Brooks Director, MIT Computer Science and Artificial Intelligence Laboratory CTO, irobot Corp

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Robotics and Artificial Intelligence Rodney Brooks Director, MIT Computer Science and Artificial Intelligence Laboratory CTO, irobot Corp

Report Documentation Page Form Approved OMB No. 0704-0188 Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. 1. REPORT DATE 06 MAR 2007 4. TITLE AND SUBTITLE Robotics and Artificial Intelligence 2. REPORT TYPE N/A 3. DATES COVERED - 5a. CONTRACT NUMBER 5b. GRANT NUMBER 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER 5e. TASK NUMBER 5f. WORK UNIT NUMBER 7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES) MIT Computer Science and Artificial Intelligence Laboratory 8. PERFORMING ORGANIZATION REPORT NUMBER 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES) 10. SPONSOR/MONITOR S ACRONYM(S) 12. DISTRIBUTION/AVAILABILITY STATEMENT Approved for public release, distribution unlimited 11. SPONSOR/MONITOR S REPORT NUMBER(S) 13. SUPPLEMENTARY NOTES DARPA Microsystems Technology Symposium held in San Jose, California on March 5-7, 2007. Presentations, The original document contains color images. 14. ABSTRACT 15. SUBJECT TERMS 16. SECURITY CLASSIFICATION OF: 17. LIMITATION OF ABSTRACT UU a. REPORT unclassified b. ABSTRACT unclassified c. THIS PAGE unclassified 18. NUMBER OF PAGES 22 19a. NAME OF RESPONSIBLE PERSON Standard Form 298 (Rev. 8-98) Prescribed by ANSI Std Z39-18

Stanford AI Lab 1979: 20 meters/6 hours 4 orders of magnitude in 26 years 2005: 200 kilometers/6 hours

Our Recent View of Robots

Autonomy For Robots Every motion of every motor is specified by a human operator Human operator specifies gross motions, robot decides details Human operator specifies tasks, robot decides how Once deployed, the robot makes all decisions without consulting a human Pure teleoperation Supervisory teleoperation Task-level Total Degree of

Autonomy Levels Pure teleoperation Supervisory teleoperation Task-level Total Degree of

Autonomy For Robots Every motion of every motor is specified by a human operator Human operator specifies gross motions, robot decides details Human operator specifies tasks, robot decides how Once deployed, the robot makes all decisions without consulting a human Pure teleoperation Supervisory teleoperation Task-level Total Degree of

irobot Autonomy Levels Pure teleoperation Supervisory teleoperation Task-level Total Degree of

PackBot EOD Two way audio LED illumination bank 2 Gripper Cams w/ illumination 300X Zoom Camera with Low Light mode 115deg FOV Drive Camera on rotating mount

PackBot #129 Killed In Action April 8, 2004 Iraq

Why Manipulation for Robots? Teleoperation of manipulation is slow and difficult for EOD missions this is currently acceptable but not optimal for tactical situations it is not acceptable Tasks for manipulation in tactical situations opening doors rapidly placing charges poking and lifting Tasks for manipulation elsewhere logistics and supply casualty removal

State of Art in Robot Manipulation Deployed pre-engineered in carefully controlled environments pure (or marginally supervisory) teleoperation» perhaps after a task-level or fully autonomous traverse Touch Sensors mostly rigid mostly require too much pressure mostly measure only normal force

Lab Robots For Grasping Force only Force and touch

Pure Force Control Movie File

Our Approach to Touch Biological inspired sensors. Dome shaped Deformable Sensors favor compliance over spatial resolution. RIDGES

Approach to Tactile Sensing Position of the top of the sensor gives an estimation of the force applied Magnetic: A magnet on the dome, 4 hall effect sensors on the base Optical version A LED and 4 photo receptors on the base

Sensor Prototyping Molding silicon rubber

Displacement Load Load Vertical Displacement Horizontal Displacement Load / Load max 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 Displacement / Displacement max Load/Load max 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 Horizontal Vertical 0 0 0.05 0.1 0.15 0.2 0.25 0.3 0.35 Displacement/Displacem ent max

Movie File

Slip Detection + Correction

Micro Technology & Manipulation Embedded processing for images, planning, control Tactile sensors transistors in compliant materials large arrays sheets that can be cut and shaped Other tactile modalities intertwined with temperature sensors intertwined with sniffers More generally not just faster, and lower power embedded computation and sensing in materials