Award Abstract # 1116533
RI: Small: Physical Interaction with Dynamically Stable Mobile Robots

NSF Org: IIS
Division of Information & Intelligent Systems
Recipient: CARNEGIE MELLON UNIVERSITY
Initial Amendment Date: July 29, 2011
Latest Amendment Date: April 11, 2012
Award Number: 1116533
Award Instrument: Standard Grant
Program Manager: Gregory Chirikjian
IIS
 Division of Information & Intelligent Systems
CSE
 Directorate for Computer and Information Science and Engineering
Start Date: August 1, 2011
End Date: July 31, 2015 (Estimated)
Total Intended Award Amount: $498,562.00
Total Awarded Amount to Date: $510,562.00
Funds Obligated to Date: FY 2011 = $498,562.00
FY 2012 = $12,000.00
History of Investigator:
  • Ralph Hollis (Principal Investigator)
    rhollis@cs.cmu.edu
  • Paul Rybski (Co-Principal Investigator)
Recipient Sponsored Research Office: Carnegie-Mellon University
5000 FORBES AVE
PITTSBURGH
PA  US  15213-3815
(412)268-8746
Sponsor Congressional District: 12
Primary Place of Performance: Carnegie-Mellon University
5000 FORBES AVE
PITTSBURGH
PA  US  15213-3815
Primary Place of Performance
Congressional District:
12
Unique Entity Identifier (UEI): U3NKNFLNQ613
Parent UEI: U3NKNFLNQ613
NSF Program(s): Robust Intelligence
Primary Program Source: 01001112DB NSF RESEARCH & RELATED ACTIVIT
01001213DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 7923, 9251
Program Element Code(s): 749500
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.070

ABSTRACT

The project studies three important domains which highlight physical Human-Robot Interaction involved in assisting humans in the home and workplace: (1) human guidance through cluttered environments using physical contact, (2) cooperative carrying of large objects through complex and dynamic environments, and (3) robot assisted sitting and getting up. This is accomplished through the evolution of an experimental single-wheel mobility platform into an autonomous robot that is instructed and guided by people in a natural way.

Such systems are needed in many public health domains, including care for the elderly, rehabilitation and assistive programs. Project results are incorporated into coursework offered by two different departments at CMU, and exposes students to unique robot planning, control and Human-Robot Interaction issues. High school students are introduced to this area as part of the Andrew Leap program. Students from underrepresented groups participate through the ARTSI program. Results may be presented in cooperation with museums or entertainment companies.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Umashankar Nagarajan and Ralph Hollis ""Shape Space Planner for Shape-Accelerated Balancing Mobile Robots"" Int'l. J. of Robotics Research (IJRR) , v.32 , 2013 , p.1323
Umashankar Nagarajan and Ralph Hollis "Shape Space Planner for Shape-Accelerated Balancing Mobile Robots" Int'l. J. of Robotics Research (IJRR) , v.32 , 2013 , p.1323
Umashankar Nagarajan, George Kantor, and Ralph Hollis ""Integrated Motion Planning and Control for Graceful Balancing Mobile Robots"" Int'l. J. of Robotics Research (IJRR), Special Issue: Motion Planning for Physical Robots , v.32 , 2013 , p.1005
Umashankar Nagarajan, George Kantor, and Ralph Hollis ""Integrated Motion Planning and Control for Graceful Balancing Mobile Robots"" Int'l. J. of Robotics Research (IJRR), Special Issue: Motion Planning for Physical Robots, , v.32 , 2013 , p.1005
Umashankar Nagarajan, George Kantor, and Ralph Hollis ""The Ballbot: An Omnidirectional Balancing Mobile Robot,"" Int'l J. of Robotics Research (IJRR) , v.33 , 2014 , p.917
Umashankar Nagarajan, George Kantor, and Ralph Hollis ""The Ballbot: An Omnidirectional Balancing Mobile Robot"" Int'l J. of Robotics Research (IJRR) , v.32 , 2013 , p.917

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The ballbot research platform:  The project used a novel mobile robot research platform created with previous NSF funding.  The robot is the vanguard of a new class of mobile robots called "ballbots," which balance in place and move about in indoor environments using a single, spherical wheel. The particular emphasis of the research is to explore how such ballbots can interact physically with people by the exchange of forces.  This field of endeavor is referred to as physical human-robot interaction, or pHRI.  The ballbot can move at human walking speed along tortuous curved paths and is capable of navigating through a building by referring to a stored map.  Most importantly, the ballbot responds compliantly when touched or shoved, allowing safe, gentle interaction. This behavior is unique to ballbots, and is not found in traditional mobile robots. Three specific interactions were investigated: leading a person by the hand; assistance in rising from a chair; and cooperative carrying of a bulky object.

At the outset, numerous physical and computational improvements were made to the ballbot platform to support pHRI.  Among these was the addition of a pan/tilt turret on the top of the ballbot with a 3D camera, laser rangefinder, array microphone, and speakers.  We added speech dialog capability so the ballbot could speak and understand simple speech commands.  We made many changes to the ballbot's software, adopting the popular Robot Operating System to make it easier to develop new capabilities.

New motion planning algorithm: A ballbot must constantly balance and carefully maintain the relationship between its center of mass and the point of support beneath the ball wheel on the floor. Motion planning for ballbots is not straightforward because it must always respect the natural dynamics of the machine according to the laws of physics.  We invented a new method for planning motion trajectories for ballbots, based on a property called "differential flatness."  The new method allows ballbots to move gracefully and rapidly along lengthy paths inside a building, while avoiding stationary obstacles and moving obstacles such as people.

Human approaching study: In one study, we evaluated ballbot trajectories that approach people engaged in a cooperative task. We assume that robots for human assistance must be able to operate safely around people and have a safe appearance; if individuals are uncomfortable with a robot and the way it moves they may simply choose not to engage with it. We found that subjects were entirely comfortable around the ballbot and did not perceive it as dangerous, despite its 75 Kg mass.

Sit-to-stand assistance: Many older persons require assistance in rising from a chair.  Often, this assistance is provided by a  family member or care giver. It is a leading cause of back injuries. We performed experiments with the ballbot helping subjects out of chairs, where the ballbot used its ability to lean to provide assistive forces.  Following human to human experiments to assess force profiles, the assistive action was performed by the ballbot leaning up to 12 degrees, applying up to 120 N (30 lbs.) of force to help  subjects rise out of chairs.

Broader Impacts of the Work:  The research performed under this grant showed that the ballbot was capable of fast, graceful motion through cluttered environments while avoiding obstacles and people up to normal human walking speed. Performance greatly exceeds that of traditional statically stable mobile robots as well as humanoid robots.  Experiments in physical human robot interaction show the potential for using this type of robot for human assistance applications, especially for elderly or sight-i...

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