2P1-G09 GPU-accelerated Real-Time 3D Tracking for Humanoid Autonomy
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概要
- 論文の詳細を見る
We have accelerated a robust model-based 3D tracking system by programmable graphics hardware to run online at frame-rate during operation of a humanoid robot and to efficiently auto-initialize. The tracker recovers the full 6 degree-of-freedom pose of viewable objects relative to the robot. Leveraging the computational resources of the CPU for perception has enabled us to increase our tracker's robustness to the significant camera displacement and camera shake typically encountered during humanoid navigation. We have combined our approach with a footstep planner and a controller capable of adaptively adjusting the height of swing leg trajectories. The resulting integrated perception-planning-action system has allowed an HRP-2 humanoid robot to successfully and rapidly localize, approach and climb stairs, as well as to avoid obstacles during walking.
- 一般社団法人日本機械学会の論文
- 2008-06-06
著者
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Kuffner James
The Robotics Institute Carnegie Mellon University
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Kanade Takeo
The Robotics Institute Carnegie Mellon University.
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Nishiwaki Koichi
Digital Human Research Center National Institute Of Advanced Industrial Science And Technology
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Kagami Satoshi
Digital Human Laboratory National Institute Of Advanced Industrial Science And Technology
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Kagami Satoshi
Aist
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CHESTNUTT Joel
AIST
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NISHIWAKI Koichi
AIST
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Michel Philipp
The Robotics Institute Carnegie Mellon University
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Chestnutt Joel
The Robotics Institute Carnegie Mellon University
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Kanade Takeo
The Robotics Institute Carnegie Mellon University:digital Human Research Center National Institute O
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Kuffner James
The Robotics Institute Carnegie Mellon University:digital Human Research Center National Institute O
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