Michael Gennert — accepted AI-conference papers

2024

Stereo Image-based Visual Servoing Towards Feature-based Grasping

Albert Enyedy, Ashay Aswale, Berk Calli, Michael Gennert

ICRA 2024poster

This paper presents an image-based visual servoing scheme that can control robotic manipulators in 3D space using 2D stereo images without needing to perform stereo reconstruction. We use a stereo camera in an eye-to-hand configuration for controlling the robot to reach target positions by directly…

Cited by 3 Source ↗Scholar ↗

2018

Learning Coordinated Vehicle Maneuver Motion Primitives from Human Demonstration

Kenechukwu C. Mbanisi, Hideyuki Kimpara, Tess Meier, Michael Gennert, Zhi Li

IROS 2018poster

High-fidelity computational human models provide a safe and cost-efficient method for studying driver experience in vehicle maneuvers and for validation of vehicle design. Compared to passive human models, active human models capable of reproducing the decision-making, as well as vehicle maneuver mo…

Cited by 6 Source ↗Scholar ↗