Clemens Eppner | Research

Clemens Eppner

Publications

2022

DefGraspSim: Physics-Based Simulation of Grasp Outcomes on 3D Deformable Objects

Isabella Huang, Yashraj Narang, Clemens Eppner, Balakumar Sundaralingam, Miles Macklin, Ruzena Bajcsy, Tucker Hermans, Dieter Fox

IEEE Robotics and Automation Letters

2021

ACRONYM: A Large-Scale Grasp Dataset Based on Simulation

Clemens Eppner, Arsalan Mousavian, Dieter Fox

2021 IEEE International Conference on Robotics and Automation (ICRA)

Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments

Fahad Islam, Chris Paxton, Clemens Eppner, Bryan Peele, Maxim Likhachev, Dieter Fox

2021 IEEE International Conference on Robotics and Automation (ICRA)

Object Rearrangement Using Learned Implicit Collision Functions

Michael Danielczuk, Arsalan Mousavian, Clemens Eppner, Dieter Fox

2020

6-DOF Grasping for Target-driven Object Manipulation in Clutter

Adithyavairavan Murali, Arsalan Mousavian, Clemens Eppner, Chris Paxton, Dieter Fox

Best Paper Finalist in Robot Manipulation, ICRA 2020, Best Student Paper Finalist, ICRA 2020

Self-supervised 6D Object Pose Estimation for Robot Manipulation

Xinke Deng, Yu Xiang, Arsalan Mousavian, Clemens Eppner, Timothy Bretl, Dieter Fox

2020 IEEE International Conference on Robotics and Automation (ICRA)

2019

6-DOF GraspNet: Variational Grasp Generation for Object Manipulation

Arsalan Mousavian, Clemens Eppner, Dieter Fox

A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-based Grasp Data Set

Clemens Eppner, Arsalan Mousavian, Dieter Fox

The International Symposium of Robotics Research (ISSR)

Representing robot task plans as robust logical-dynamical systems

Chris Paxton, Clemens Eppner, Nathan Ratliff, Dieter Fox