Dan Kruse — accepted AI-conference papers

2025

In the Wild Ungraspable Object Picking with Bimanual Nonprehensile Manipulation

ICRA 2025

Picking diverse objects in the real world is a fundamental robotics skill. However, many objects in such settings are bulky, heavy, or irregularly shaped, making them ungraspable by conventional end effectors like suction grippers and parallel jaw grippers (PJGs). In this paper, we expand the range

Cited by 3 Source ↗Scholar ↗

2023

Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach

Max Bajracharya, James Borders, Richard Cheng, Dan Helmick, Lukas Kaul, Dan Kruse +8

RSS 2023poster

We present our general-purpose mobile manipulation system consisting of a custom robot platform and key algorithms spanning perception and planning. To extensively test the system in the wild and benchmark its performance, we choose a grocery shopping scenario in an actual, unmodified grocery store.…

Cited by 24 Source ↗PDF ↗code ↗Scholar ↗