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Whole Body Manipulation
This project investigates three effective manipulation strategies
for wheeled, dynamically balancing robots with articulated links. By
comparing these strategies through analysis, simulation and robot
experiments, we show that contact placement and body posture have a
significant impact on the robot's ability to accelerate and displace
environment objects. Given object geometry and friction parameters we
determine the most effective methods for utilizing wheel torque to
perform non-prehensile manipulation. Project Members:
Publications
Journal
Satoshi Kagami, Koichi Nishiwaki, James Kuffner, Simon Thompson, Joel Chestnutt, Mike Stilman, and Philipp Michel
Humanoid HRP2-DHRC for Autonomous and Interactive Behavior
Robotics Research.
2007.
Recently, research on humanoid-type robots has become increasingly active,
and a broad array of fundamental issues are under investigation. However,
in order to achieve a humanoid robot which can operate in human environ-
ments, not only the fundamental components themselves, but also the suc-
cessful integration of these components will be required. At present, almost
all humanoid robots that have been developed have been designed for bipedal
locomotion experiments. In order to satisfy the functional demands of loco-
motion as well as high-level behaviors, humanoid robots require good me-
chanical design, hardware, and software which can support the integration of
tactile sensing, visual perception, and motor control. Autonomous behaviors
are currently still very primitive for humanoid-type robots. It is difficult to
conduct research on high-level autonomy and intelligence in humanoids due
to the development and maintenance costs of the hardware. We believe low-
level autonomous functions will be required in order to conduct research on
higher-level autonomous behaviors for humanoids.
@article{kagami2007hrp2,
title = {Humanoid HRP2-DHRC for Autonomous and Interactive Behavior},
volume = {28},
pages = {103--117},
journal = {Robotics Research},
author = {Satoshi Kagami and Nishiwaki, Koichi and James Kuffner and Thompson, Simon and Chestnutt, Joel and Mike Stilman and Michel, Philipp},
year = {2007}
}
Mike Stilman, Koichi Nishiwaki, Satoshi Kagami, and James Kuffner
Planning and Executing Navigation Among Movable Obstacles
Springer Journal of Advanced Robotics.
no. 14. 2007.
This paper explores autonomous locomotion, reaching, grasping and
manipulation for the domain of Navigation Among Movable Obstacles
(NAMO). The robot perceives and constructs a model of an environment
filled with various fixed and movable obstacles, and automatically plans
a navigation strategy to reach a desired goal location. The planned
strategy consists of a sequence of walking and compliant manipulation
operations. It is executed by the robot with online feedback. We give
an overview of our NAMO system, as well as provide details of the
autonomous planning, online grasping and compliant hand positioning
during dynamically-stable walking. Finally, we present results of a
successful implementation running on the Humanoid Robot HRP-2.
@article{stilman2007planning,
title = {Planning and Executing Navigation Among Movable Obstacles},
number = {14},
volume = {21},
pages = {1617--1634},
journal = {Springer Journal of Advanced Robotics},
author = {Mike Stilman and Nishiwaki, Koichi and Satoshi Kagami and James Kuffner},
year = {2007}
}
Conference
- 2010
Pushkar Kolhe, Neil T. Dantam, and Mike Stilman
Dynamic Pushing Strategies for Dynamically Stable Mobile Manipulators
IEEE International Conference on Robotics and Automation.
2010.
This paper presents three effective manipulation strategies for
wheeled, dynamically balancing robots with articulated links. By
comparing these strategies through analysis, simulation and robot
experiments, we show that contact placement and body posture have a
significant impact on the robot's ability to accelerate and displace
environment objects. Given object geometry and friction parameters we
determine the most effective methods for utilizing wheel torque to
perform non-prehensile manipulation.
@inproceedings{kolhe2010dynamic,
title = {Dynamic Pushing Strategies for Dynamically Stable Mobile Manipulators},
pages = {3745--3750},
month = {May},
booktitle = {IEEE International Conference on Robotics and Automation},
author = {Pushkar Kolhe and Neil T. Dantam and Mike Stilman},
year = {2010}
}
- 2008
Mike Stilman, Koichi Nishiwaki, and Satoshi Kagami
Humanoid Teleoperation For Whole Body Manipulation
IEEE International Conference on Robotics and Automation.
2008.
We present results of successful telemanipulation of large, heavy
objects by a humanoid robot. Using a single joystick the operator
controls walking and whole body manipulation along arbitrary paths for
up to ten minutes of continuous execution. The robot grasps, walks,
pushes, pulls, turns and re-grasps a 55kg range of loads on
casters. Our telemanipulation framework changes reference frames
online to let the operator steer the robot in free walking, its hands
in grasping and the object during mobile manipulation. In the case of
manipulation, our system computes a robot motion that satisfies the
commanded object path as well as the kinematic and dynamic constraints
of the robot. Furthermore, we achieve increased robot stability by
learning dynamic friction models of manipulated objects
@inproceedings{stilman2008humanoid,
title = {Humanoid Teleoperation For Whole Body Manipulation},
pages = {3175--3180},
month = {May},
booktitle = {IEEE International Conference on Robotics and Automation},
author = {Mike Stilman and Nishiwaki, Koichi and Satoshi Kagami},
year = {2008}
}
- 2007
Mike Stilman, Koichi Nishiwaki, and Satoshi Kagami
Learning Object Models for Humanoid Manipulation
IEEE/RAS International Conference on Humanoid Robotics.
2007.
We present a successful implementation of rigid grasp manipulation for
large objects moved along specified trajectories by a humanoid
robot. HRP-2 manipulates tables on casters with a range of loads up to
its own mass. The robot maintains dynamic balance by controlling its
center of gravity to compensate for refiected forces. To achieve high
performance for large objects with unspecified dynamics the robot
learns a friction model for each object and applies it to torso
trajectory generation. We empirically compare this method to a purely
reactive strategy and show a significant increase in predictive power
and stability.
@inproceedings{stilman2007learning,
title = {Learning Object Models for Humanoid Manipulation},
pages = {174--179},
month = {November},
booktitle = {IEEE/RAS International Conference on Humanoid Robotics},
author = {Mike Stilman and Nishiwaki, Koichi and Satoshi Kagami},
year = {2007}
}
- 2006
Mike Stilman, Koichi Nishiwaki, Satoshi Kagami, and James Kuffner
Planning and Executing Navigation Among Movable Obstacles
IEEE/RSJ International Conference on Intelligent Robots and Systems.
2006.
This paper explores autonomous locomotion, reaching, grasping and
manipulation for the domain of Navigation Among Movable Obstacles
(NAMO). The robot perceives and constructs a model of an environment
filled with various fixed and movable obstacles, and automatically plans
a navigation strategy to reach a desired goal location. The planned
strategy consists of a sequence of walking and compliant manipulation
operations. It is executed by the robot with online feedback. We give
an overview of our NAMO system, as well as provide details of the
autonomous planning, online grasping and compliant hand positioning
during dynamically-stable walking. Finally, we present results of a
successful implementation running on the Humanoid Robot HRP-2
@inproceedings{stlman2006planning,
title = {Planning and Executing Navigation Among Movable Obstacles},
pages = {1617--1634},
month = {October},
booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
author = {Mike Stilman and Nishiwaki, Koichi and Satoshi Kagami and James Kuffner},
year = {2006}
}
Technical Reports
Neil T. Dantam, Pushkar Kolhe, and Mike Stilman
Equations of Motion for Dynamically Stable Mobile Manipulators
no. GT-GOLEM-2010-002. Georgia Institute of Technology, Atlanta, GA. 2010.
Equations of motion for dynamically stable mobile manipulation
@techreport{dantam2010equations,
title = {Equations of Motion for Dynamically Stable Mobile Manipulators},
number = {GT-GOLEM-2010-002},
institution = {Georgia Institute of Technology, Atlanta, GA},
author = {Neil T. Dantam and Pushkar Kolhe and Mike Stilman},
year = {2010}
}
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