MANIPULATION
Learning from a Single Demonstration: Motion Planning with Skill Segmentation
Scott Kuindersma, George Konidaris, Roderic A. Grupen, Andrew G. Barto
- 发表年份
- 2010
- 引用次数
- 2
- 访问权限
- 开放获取
摘要
We propose an approach to control learning from demonstration that first segments demonstration trajectories to identify subgoals to solve the overall task. Using this approach, we show that a mobile robot is able to solve a combined navigation and manipulation task robustly after observing only a single successful trajectory.
关键词
Task (project management)Computer scienceArtificial intelligenceTrajectoryComputer visionMotion planningSegmentationMotion (physics)Control (management)Mobile robot
相关论文
OTHER
📊 26,957 引用
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 引用
Artificial intelligence: a modern approach
1995
OTHER
📊 18,993 引用
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
SWARM
📊 14,853 引用
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002