3 papers
cs.RO2026
Contact-Free Grasp Stability Prediction with In-Hand Time-of-Flight Sensors
Kyle DuFrene, Cindy Grimm
Current approaches to grasp planning for robotics demonstrate high success rates, but degrade with noisy sensors and other factors. Previous works have proposed tactile-based grasp…
cs.RO2024
The Grasp Reset Mechanism: An Automated Apparatus for Conducting Grasping Trials
Kyle DuFrene, Keegan Nave, Joshua Campbell +2
Advancing robotic grasping and manipulation requires the ability to test algorithms and/or train learning models on large numbers of grasps. Towards the goal of more advanced grasp…
cs.RO2024
The Door and Drawer Reset Mechanisms: Automated Mechanisms for Testing and Data Collection
Kyle DuFrene, Luke Strohbehn, Keegan Nave +2
Robotic manipulation in human environments is a challenging problem for researchers and industry alike. In particular, opening doors/drawers can be challenging for robots, as the s…