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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Stilman, M. Olson, J. Gloss, W. |
| Copyright Year | 2010 |
| Description | Author affiliation: Center for Robotics and Intelligent Machines & School of Interactive Computing at the Georgia Institute of Technology, Atlanta, 30332, USA (Stilman, M.; Olson, J.; Gloss, W.) |
| Abstract | What would humans be like if nature had invented the wheel? Golem Krang is a novel humanoid torso designed at Georgia Tech. The robot dynamically transforms from a.5 m static to a 1.5 m dynamic configuration. Our robot development has led to two advances in the design of platforms for mobility and manipulation: (1) A 2-DOF robot base that autonomously stands from horizontal rest; (2) A 4-DOF humanoid torso that adds a waist roll joint to replicate human torso folding and a yaw joint for spine rotation. The mobile torso also achieves autonomous standing in a constrained space while lifting a 40 kg payload. Golem validates our assertions by consistently achieving static-dynamic transformations. This paper describes the design of our mobile torso. It considers a number of factors including its suitability for human environments, mechanical simplicity and the ability to store potential and kinetic energy for handling heavy human and even super-human tasks. |
| Starting Page | 3304 |
| Ending Page | 3309 |
| File Size | 777180 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424450381 |
| ISSN | 10504729 |
| DOI | 10.1109/ROBOT.2010.5509593 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-05-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Humanoid robots Humans Torso Mobile robots Robot kinematics Manipulator dynamics Robust stability Robotics and automation Wheels Orbital robotics robot design humanoid robot dynamic stability static stability autonomous standing |
| Content Type | Text |
| Resource Type | Article |
| Subject | Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Software |
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