A linear time-variant controller assists reach-to-grasp intention detection in 2D novel cluttered scenes by generating grasp candidates and reducing user-controllable dimensions to x-y only, showing improved accuracy and execution time over manual control.
First- person view semi-autonomous teleoperation of cooperative wheeled mobile robots with visuo-haptic feedback
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
2019 2verdicts
UNVERDICTED 2representative citing papers
Proposes metrics and benchmarks for AI-enhanced remote shared controllers in industrial robotics and evaluates a simple intelligent controller against manual teleoperation in a grasping scenario.
citing papers explorer
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2D Linear Time-Variant Controller for Human's Intention Detection for Reach-to-Grasp Trajectories in Novel Scenes
A linear time-variant controller assists reach-to-grasp intention detection in 2D novel cluttered scenes by generating grasp candidates and reducing user-controllable dimensions to x-y only, showing improved accuracy and execution time over manual control.
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Metrics and Benchmarks for Remote Shared Controllers in Industrial Applications
Proposes metrics and benchmarks for AI-enhanced remote shared controllers in industrial robotics and evaluates a simple intelligent controller against manual teleoperation in a grasping scenario.