5 accepted papers
This paper proposes a simple yet effective markerless hand-eye calibration method that achieves low cost, high accuracy, and strong generalization across different types of robots. The method utilizes a circular flange, a standardized structure in industrial robots, for calibration via the perspecti…
The tradeoff between the field-of-view and resolution of conventional onboard vision systems primarily results from their fixed optical components. We propose a novel active vision system, Falcon, as an optimal solution. This system comprises an electric zoom lens connected to a high-speed camera wi…
We present One-Shot Affordance Learning (OSAL): a unified pipeline that learns manipulation for articulated objects by observing human demonstration only once. The key idea of our method is to embody affordance of articulated objects with an open-loop trajectory conditioned on a certain area of the…
This letter proposes an online method for calibrating the orientation of cameras mounted on vehicles. To calibrate the orientation of the target camera relative to the vehicle, we propose using a high-speed vision sensor, focused on the ground, in conjunction with the target camera. First, the high-
This work investigates the functionality of Semantic information in Contrastive Learning (SemCL). An advanced pretext task is designed: a contrast is performed between each object and its environment, taken from a scene. This allows the SemCL pretrained model to extract objects from their environmen…