SOURCE-LINKED INTELLIGENCE
Remote Human and Robot Interaction for Greenhouse Gardening Using Virtual Reality
This study evaluates the effectiveness of remote human-robot interaction using virtual reality for leaf inspection and soil moisture assessment in a greenhouse environment. The robotic system comprised an unmanned ground vehicle and a robotic manipulator equipped with cameras, governed by kinematic models for navigation and manipulator control. Fourteen distinct plants were inspected across two experiments utilizing VR teleoperation, guided by a set of pre-specified research questions and hypotheses. In the leaf inspection experiments, cycle completion times varied from 3.3 to 8.0 s, and plant
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T16:37:59.000Z
First collected: 2026-09-21T08:32:02.028Z. This is not the publication date.