Characterizing Input Methods for Human-to-robot Demonstrations
Pragathi Praveena, Guru Subramani, Bilge Mutlu, Michael Gleicher

TL;DR
This paper explores various input methods for human-to-robot demonstrations, introduces a novel instrumented tongs method, and evaluates its effectiveness and user experience compared to existing techniques.
Contribution
The paper identifies a design space for input methods, characterizes existing approaches, and introduces the instrumented tongs as a new input method for robot demonstrations.
Findings
Instrumented tongs provide high-quality demonstrations.
Demonstrators have a positive experience with instrumented tongs.
The method offers good correspondence to the target robot.
Abstract
Human demonstrations are important in a range of robotics applications, and are created with a variety of input methods. However, the design space for these input methods has not been extensively studied. In this paper, focusing on demonstrations of hand-scale object manipulation tasks to robot arms with two-finger grippers, we identify distinct usage paradigms in robotics that utilize human-to-robot demonstrations, extract abstract features that form a design space for input methods, and characterize existing input methods as well as a novel input method that we introduce, the instrumented tongs. We detail the design specifications for our method and present a user study that compares it against three common input methods: free-hand manipulation, kinesthetic guidance, and teleoperation. Study results show that instrumented tongs provide high quality demonstrations and a positive…
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Taxonomy
TopicsRobot Manipulation and Learning · Hand Gesture Recognition Systems · Teleoperation and Haptic Systems
