LARIAT: Predictive Haptic Feedback to Improve Semi-Autonomous UGV Safety in a Case Study.

IF 2.4 3区计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS

IEEE Transactions on Haptics Pub Date : 2025-03-03 DOI:10.1109/TOH.2025.3546979

Chandler Stubbs, Kathleen Steadman, David M Bevly, Chad G Rose

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引用次数: 0

Abstract

While much work is being done to advance autonomous capabilities of mobile robotics, specifically unmanned ground vehicles (UGVs), some applications might currently be too complex or undesirable for full autonomy. Maintaining a human in the loop has proven to be a reliable strategy in these applications, yet there are currently limitations to the efficacy of human operators. Haptic feedback has been proposed as a method of addressing these limitations, and aiding UGV operators in safe and effective operation. This manuscript presents the experimental validation of LARIAT (Lowering Attention Requirements in semi-Autonomous Teleoperation), a portable haptic device for teleoperated semi-autonomous UGVs. This device utilizes an adapted predictive form of the Zero-Moment Point (ZMP) rollover index to inform haptic squeeze cues provided to the UGV operator for human-on-the-loop notifications. First, a brief design overview of LARIAT, implemented haptic control, and the ZMP index are presented. In addition to experimental device characterization of the just noticeable difference, we present a case study that demonstrates LARIAT's abilities to improve teleoperation performance. In an experiment involving a simulation of walking behind a semi-autonomous UGV, LARIAT reduced the number of UGV rollovers by up to 50%, with comparable or increased performance in a concurrent secondary tasks.

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来源期刊

IEEE Transactions on Haptics COMPUTER SCIENCE, CYBERNETICS-

CiteScore

5.90

自引率

13.80%

发文量

109

审稿时长

>12 weeks

期刊介绍： IEEE Transactions on Haptics (ToH) is a scholarly archival journal that addresses the science, technology, and applications associated with information acquisition and object manipulation through touch. Haptic interactions relevant to this journal include all aspects of manual exploration and manipulation of objects by humans, machines and interactions between the two, performed in real, virtual, teleoperated or networked environments. Research areas of relevance to this publication include, but are not limited to, the following topics: Human haptic and multi-sensory perception and action, Aspects of motor control that explicitly pertain to human haptics, Haptic interactions via passive or active tools and machines, Devices that sense, enable, or create haptic interactions locally or at a distance, Haptic rendering and its association with graphic and auditory rendering in virtual reality, Algorithms, controls, and dynamics of haptic devices, users, and interactions between the two, Human-machine performance and safety with haptic feedback, Haptics in the context of human-computer interactions, Systems and networks using haptic devices and interactions, including multi-modal feedback, Application of the above, for example in areas such as education, rehabilitation, medicine, computer-aided design, skills training, computer games, driver controls, simulation, and visualization.