机器人技能的阶段发展:行为形成、功能学习和动作语模仿

Emre Ugur, Y. Nagai, E. Sahin, Erhan Öztop
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引用次数: 76

摘要

受婴儿发育的启发,我们提出了拟人机械手的三阶段发展框架。在第一阶段,初始化机器人的基本触达封闭运动能力,并通过探索其运动参数空间发现一组行为原语。下一阶段,机器人将发现的行为在不同的物体上进行练习,并学习产生的影响;有效地构建一个可用性和相关预测器库。最后,在第三阶段,在合作导师的帮助下,使用学习到的结构和预测器来引导复杂的模仿和动作学习。本文的主要贡献是实现了一个综合发展系统,其中从交互真实机器人的感觉运动经验中产生的结构被用作产生越来越复杂的认知能力的后续阶段的唯一构建块。提出的框架包括婴儿感觉运动发展的一些共同特征。此外,从自我探索和动作引导的人机交互实验中获得的发现使我们能够推断人类婴儿从简单到复杂的感觉运动技能发展的潜在机制。
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Staged Development of Robot Skills: Behavior Formation, Affordance Learning and Imitation with Motionese
Inspired by infant development, we propose a three staged developmental framework for an anthropomorphic robot manipulator. In the first stage, the robot is initialized with a basic reach-and- enclose-on-contact movement capability, and discovers a set of behavior primitives by exploring its movement parameter space. In the next stage, the robot exercises the discovered behaviors on different objects, and learns the caused effects; effectively building a library of affordances and associated predictors. Finally, in the third stage, the learned structures and predictors are used to bootstrap complex imitation and action learning with the help of a cooperative tutor. The main contribution of this paper is the realization of an integrated developmental system where the structures emerging from the sensorimotor experience of an interacting real robot are used as the sole building blocks of the subsequent stages that generate increasingly more complex cognitive capabilities. The proposed framework includes a number of common features with infant sensorimotor development. Furthermore, the findings obtained from the self-exploration and motionese guided human-robot interaction experiments allow us to reason about the underlying mechanisms of simple-to-complex sensorimotor skill progression in human infants.
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来源期刊
IEEE Transactions on Autonomous Mental Development
IEEE Transactions on Autonomous Mental Development COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-ROBOTICS
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