给机器人手臂设计触觉退缩反射，用户更喜欢可预测的简单动作。
Design and Human Evaluation of Tactile Withdrawal Reflexes for a Skin-Covered Robot Arm
- 用非线性模型将皮肤压力转为痛感强度，驱动不同退缩策略
- 统一反射让15名用户感觉最安全、最自然，胜过生物启发和笛卡尔空间方案
- 行为可预测性比拟人化更重要，适合追求安全交互的场景
本研究为具备全身触觉感知的机械臂设计人工伤害感受机制。提出完整流程：将机器人臂上敏感皮肤的压力变化转化为生物启发的退缩动作。系统首先通过非线性连续模型将压力映射为痛感增益。比较三种反射策略：(i) 统一反射——固定移动四个关节，退缩方向始终朝向基座，与触碰位置无关；(ii) 生物启发的位置依赖关节空间反射，基于人类退缩反应特征；(iii) 沿接触点法向的笛卡尔空间反射。所有行为集成于反射控制器中，中断当前任务，执行退缩并返回触碰前姿态。15名参与者通过Godspeed量表子项、自定义的自然度与安全性问题、强制选择对比及定性反馈进行评估。结果显示，统一反射在拟人化、动画感、喜爱度等Godspeed维度，以及自然度与真实性自定义量表上评分更高。在对比测试中，统一反射在‘最安全’、‘最像人类’、‘最自然’三项得分最高。这表明行为可预测性是用户接受的关键。笛卡尔反射被认为是最合适的反应。生物启发反射未在任何指标上占优，可能源于机器人臂与人体臂的具身差距，以及用户对机器人的预期差异。
原文摘要 · Abstract (English)
Nociception is a protective biological mechanism that links harmful stimulation to a reaction. This paper investigates artificial nociception for a robotic arm with whole-body tactile sensing. We present a complete pipeline that maps pressure changes from sensitive skin on a robot manipulator to bio-inspired withdrawal motions. The system first converts skin pressure into a scalar pain gain using a nonlinear continuous model. We compare three reflexes: (i) uniform reflex moves four robot joints by a fixed amount, whereby the withdrawal is approximated by a movement of the arm "toward the base", independent of where the robot was touched; (ii) biologically motivated location-dependent joint-space withdrawal derived from human withdrawal reflex characteristics; (iii) Cartesian space withdrawal along the surface normal of the contacted skin pad. All behaviors are integrated in a reflex controller that interrupts the task, executes the withdrawal, and returns to a pre-contact pose. A user study with 15 participants compared the strategies using Godspeed questionnaire subscales, custom perceived-naturalness and safety items, forced-choice comparisons, and qualitative feedback. Interestingly, participants rated more highly the uniform reflex behavior over one or both competitors on the anthropomorphism, animacy, and likeability Godspeed subscales and on the Naturalness and Realism custom scale. When asked to compare the conditions, the uniform reflex was scored best in "felt safest", "most human-like", and "most natural". This suggests that predictability of the robot behavior is key for user acceptance. The Cartesian reflex was judged the most appropriate reaction to touch. The bio-inspired reflex did not lead any evaluated measure. This may be partly attributed to the embodiment gap between the robot arm and human arm and participants having different expectations from a robot manipulator.
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