Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
AI Playground
New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Careers
Academic Collaborations
Government Collaborations
Graduate Fellowship
Internships
Research Openings
Research Scientists
Meet the Team
Licensing
Skip to main content
Artificial Intelligence Computing Leadership from NVIDIA
Login
Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
AI Playground
New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Careers
Academic Collaborations
Government Collaborations
Graduate Fellowship
Internships
Research Openings
Research Scientists
Meet the Team
Licensing
Search
Search
Enter the terms you wish to search for.
People
Clemens Eppner
Personal Homepage:
https://clemense.github.io
Research Area(s)
Artificial Intelligence and Machine Learning
Robotics
Main Field of Interest
Robotics
Google Scholar
https://scholar.google.com/citations?hl=en&user=zMw7PF8AAAAJ
Publications
2024
scene_synthesizer: A Python Library for Procedural Scene Generation in Robot Manipulation
Clemens Eppner
,
Adithya Murali
,
Caelan Garrett
,
Rowland O'Flaherty
,
Tucker Hermans
,
Wei Yang
,
Dieter Fox
The Journal of Open Source Software
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability
Xiaolin Fang,
Caelan Garrett
,
Clemens Eppner
, Tomás Lozano-Pérez, Leslie Pack Kaelbling,
Dieter Fox
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Best Conference Paper Finalist, Best Student Paper Finalist
One-Shot Transfer of Long-Horizon Extrinsic Manipulation Through Contact Retargeting
Albert Wu, Ruocheng Wang, Sirui Chen,
Clemens Eppner
, C Karen Liu
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
2023
CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation
Adithya Murali
,
Arsalan Mousavian
,
Clemens Eppner
, Adam Fishman,
Dieter Fox
International Conference on Robotics and Automation (ICRA)
2022
Motion Policy Networks
Adam Fishman,
Adithya Murali
,
Clemens Eppner
, Bryan Peele, Byron Boots,
Dieter Fox
Conference on Robot Learning (CoRL), 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
ICRA 2021
2020
6-DOF Grasping for Target-driven Object Manipulation in Clutter
Adithyavairavan Murali,
Arsalan Mousavian
,
Clemens Eppner
, Chris Paxton,
Dieter Fox
ICRA 2020
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
ICCV 2019
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
IROS 2019