Kemper Steven
Music Department, Mason Gross School of the Arts, Rutgers University, New Brunswick, NJ, United States.
Front Robot AI. 2021 Mar 23;8:647028. doi: 10.3389/frobt.2021.647028. eCollection 2021.
The field of musical robotics presents an interesting case study of the intersection between creativity and robotics. While the potential for machines to express creativity represents an important issue in the field of robotics and AI, this subject is especially relevant in the case of machines that replicate human activities that are traditionally associated with creativity, such as music making. There are several different approaches that fall under the broad category of musical robotics, and creativity is expressed differently based on the design and goals of each approach. By exploring elements of anthropomorphic form, capacity for sonic nuance, control, and musical output, this article evaluates the locus of creativity in six of the most prominent approaches to musical robots, including: 1) nonspecialized anthropomorphic robots that can play musical instruments, 2) specialized anthropomorphic robots that model the physical actions of human musicians, 3) semi-anthropomorphic robotic musicians, 4) non-anthropomorphic robotic instruments, 5) cooperative musical robots, and 6) individual actuators used for their own sound production capabilities.
音乐机器人领域呈现了一个关于创造力与机器人技术交叉领域的有趣案例研究。虽然机器展现创造力的潜力是机器人技术和人工智能领域的一个重要问题，但在机器复制传统上与创造力相关的人类活动（如音乐制作）的情况下，这个问题尤为相关。音乐机器人这一宽泛类别下有几种不同的方法，并且根据每种方法的设计和目标，创造力的表现方式也有所不同。通过探究拟人形态的元素、声音细微差别处理能力、控制以及音乐输出，本文评估了六种最突出的音乐机器人方法中的创造力所在，包括：1）能够演奏乐器的非专门拟人机器人，2）模拟人类音乐家身体动作的专门拟人机器人，3）半拟人机器人音乐家，4）非拟人机器人乐器，5）协作音乐机器人，以及6）因其自身声音产生能力而使用的单个致动器。
