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Manipulation Lab
Heads: Matthew Mason and Michael Erdmann
Contact: Matthew Mason (matt.mason@cs.cmu.edu)
Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Location:
NSH A519
For more information, see this lab's homepage.
This page last updated - January 2007.
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Lab Description |
Personnel |
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Lab Description
The Manipulation Laboratory at Carnegie Mellon University investigates fundamental modes of manipulation under uncertainty. Our goal is to produce robots that can perform a variety of tasks in the physical world, ranging from industrial assembly to everyday chores. Examples include prepositioning parts for camcorder assembly to sorting papers on a desktop.
Our key contribution has been to elucidate and harness natural sources of information. Often, when asked to name sources of information researchers think of simple sensors such as cameras, light detectors, and strain gauges. They forget that action is as much a source of information as it is a source of uncertainty. Dropping a book on a desk is often the best way to know that the book is on the table. More complicated mechanical information appears in dynamic settings. Pushing on a coffee cup with a sensating finger provides a combination of mechanical and sensory information that allows the robot to determine the cup's shape and pose.
Many techniques such as these were first developed in the Manipulation Laboratory in the context of hands and arms interacting with objects in the world. They are now commonplace in other domains, such as mobile robotics.
Software automation has become a natural part of human life. In the future this automation will extend to physical devices. Today we can place orders for goods over the internet, but humans still pack and ship these orders. In the future, we will be able to go grocery shopping without human intervention. Today, we can call up cameras to view scenery in Hawaii or New York. In the future we will be able to sample the plants and rocks we see at such distances. The Manipulation Laboratory is contributing with fundamental research into the nature of action and sensing and their natural connections.
Personnel [Past members]
Current Projects [Past Projects]
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Desktop Robotics - Is it possible to build robots which take the desktop as their task domain?
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Legless Locomotion - A novel locomotion technique for legged robots when their
legs don't touch the ground!
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Robotic Origami Folding - Origami, the human art of paper sculpture, is a fresh challenge for the field of robotic manipulation, and provides a concrete example for many difficult and general manipulation problems.
-
Time-optimal Vehicle Trajectories - What's the fastest way to drive a mobile robot?
Recent publications [View all 47 publications]
- A Dynamic Single Actuator Vertical Climbing Robot
A. Degani, A. Shapiro, H. Choset, and M. Mason
Intelligent Robots and Systems, 2007. IROS 2007. IEEE/RSJ International Conference on, November, 2007, pp. 2901-2906.
[Abstract]
Download: pdf [420 KB] copyrighted
- Control Strategies and Design Guidelines for Planar Latch-Less Metamorphic Robots Based on Analysis of Dynamics
A. Deshpande, S. Srinivasa, and P. Pillai
IEEE/RSJ International Conference on Intelligent Robots and Systems, November, 2007.
[Abstract]
Download: pdf [611 KB] copyrighted
- Toward Legless Locomotion Control
R. Balasubramanian, A. Rizzi, and M. Mason
2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, October, 2006, pp. 5594 - 5599.
[Abstract]
Download: pdf [968 KB] copyrighted
- Modeling and Control Techniques for a Class of Mobile Robot Error Recovery Problems
R. Balasubramanian
doctoral dissertation, tech. report CMU-RI-TR-06-39, Robotics Institute, Carnegie Mellon University, September, 2006.
[Abstract]
Download: pdf [10971 KB] copyrighted
- Physics-Based Motion Retiming
J. McCann, N. Pollard, and S. Srinivasa
Eurographics/ ACM SIGGRAPH Symposium on Computer Animation, September, 2006.
[Abstract]
Download: pdf [4883 KB] copyrighted
- Meet point planning for multirobot coordination
S. Srinivasa and D. Ferguson
IEEE International Symposium on Robotics and Automation, IEEE, August, 2006.
[Abstract]
Download: pdf [251 KB] copyrighted
- Control Synthesis for Dynamic Contact Manipulation
S. Srinivasa
doctoral dissertation, tech. report CMU-RI-TR-05-33, Robotics Institute, Carnegie Mellon University, September, 2005.
[Abstract]
Download: pdf [9794 KB] copyrighted
- Using projected dynamics to plan dynamic contact manipulation
S. Srinivasa, M. Erdmann, and M. Mason
IEEE/RSJ International Conference on Intelligent Robots and Systems, August, 2005, pp. 3618 - 3623.
[Abstract]
Download: pdf [933 KB] copyrighted
- Control synthesis for dynamic contact manipulation
S. Srinivasa, M. Erdmann, and M. Mason
IEEE International Conference on Robotics and Automation, IEEE, April, 2005, pp. 2523 - 2528.
[Abstract]
Download: pdf [1159 KB] copyrighted
- Kinematic reduction and planning using symmetry for a variable inertia mechanical system
R. Balasubramanian and A. Rizzi
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Vol. 4, October, 2004, pp. 3829 - 3834.
[Abstract]
Download: pdf [337 KB] copyrighted
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