Joseph Polden — accepted AI-conference papers

2017

Sampling-based coverage motion planning for industrial inspection application with redundant robotic system

Wei Jing, Joseph Polden, Chun Fan Goh, Mabaran Rajaraman, Wei Lin, Kenji Shimada

IROS 2017poster

This paper presents a novel sampling-based motion planning method for shape inspection applications with a redundant robotic system. In this paper, a 7-Degree-of-Freedom (DOF) redundant robotic system consisting of a 6-DOF manipulator and a 1-DOF turntable is used for the industrial inspection probl…

Cited by 21 Source ↗Scholar ↗

2016

Sampling-based view planning for 3D visual coverage task with Unmanned Aerial Vehicle

Wei Jing, Joseph Polden, Wei Lin, Kenji Shimada

IROS 2016poster

The view planning problem is the problem that involves finding suitable viewpoints for vision-related tasks such as inspection or reconstruction. In this paper, we propose a novel view planning algorithm for a camera-equipped Unmanned Aerial Vehicle (UAV) acquiring visual geometric information of ta…

Cited by 64 Source ↗Scholar ↗