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DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation

机译:数字:用于低成本紧凑型高分辨率触觉传感器的新型设计,适用于手动操纵

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Despite decades of research, general purpose in-hand manipulation remains one of the unsolved challenges of robotics. One of the contributing factors that limit current robotic manipulation systems is the difficulty of precisely sensing contact forces - sensing and reasoning about contact forces are crucial to accurately control interactions with the environment. As a step towards enabling better robotic manipulation, we introduce DIGIT, an inexpensive, compact, and high-resolution tactile sensor geared towards in-hand manipulation. DIGIT improves upon past vision-based tactile sensors by miniaturizing the form factor to be mountable on multi-fingered hands, and by providing several design improvements that result in an easier, more repeatable manufacturing process, and enhanced reliability. We demonstrate the capabilities of the DIGIT sensor by training deep neural network model-based controllers to manipulate glass marbles in-hand with a multi-finger robotic hand. To provide the robotic community access to reliable and low-cost tactile sensors, we open-source the DIGIT design at www.digit.ml.
机译:尽管研究了数十年的研究,但通用的操作仍然是机器人学的未解决挑战之一。限制当前机器人操纵系统的贡献因素之一是精确感测接触力的难度 - 感测和推理对接触力是至关重要的,可以准确地控制与环境的相互作用。作为实现更好的机器人操作的步骤,我们引入了数字,廉价,紧凑,高分辨率触觉传感器,旨在朝向手动操作。数字通过将外形系数缩小为可安装在多指手上的形状因子,并通过提供几种设计改进,从而提高了基于视觉的触觉传感器,从而导致更容易,更可重复的制造工艺和增强的可靠性。我们通过培训基于深度神经网络模型的控制器来操纵玻璃大理石用多指机器人手动操作数字传感器的能力。为了提供可靠和低成本的触觉传感器的机器人社区,我们在www.digit.ml上开源数字设计。

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