4 accepted papers
Hand tracking plays a key role in capturing and transferring dexterous human manipulation skills to robots. However, achieving reliable tracking across diverse conditions and during complex interactions (e.g., object manipulation) remains challenging. A promising solution is to combine wearable sens…
We propose a novel real-time excavation trajectory modulation framework on a slope for an autonomous excavator with a low-level digital kinematic control as common for hydraulic industrial excavators. Excavation on a slope is challenging because of a higher risk of slips and rollovers. To deal with
Three-dimensional (3D) reconstruction of wiry structures from vision suffers from thin geometry, lack of texture, and severe self-occlusions. We propose an online 3D edge reconstruction framework that uses monocular image sequences to reconstruct the wiry structures whose skeletons are mainly straig
This work proposes a novel precision motion control framework of robotized industrial hydraulic excavators via data-driven model inversion. Rather than employing a single neural network to approximate the whole excavator dynamics, including input delays and dead-zones, we construct a physics-inspire