Nick Heppert

According to our database, Nick Heppert authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

cVLA: Towards Efficient Camera-Space VLAs.

Max Argus, Jelena Bratulic, Houman Masnavi, Maxim Velikanov, Nick Heppert, Abhinav Valada, Thomas Brox

CoRR, July, 2025

2024

CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation.

Eugenio Chisari, Nick Heppert, Tim Welschehold, Wolfram Burgard, Abhinav Valada

IEEE Robotics Autom. Lett., June, 2024

Neural Fields in Robotics: A Survey.

Muhammad Zubair Irshad, Mauro Comi, Yen-Chen Lin, Nick Heppert, Abhinav Valada, Rares Ambrus, Zsolt Kira, Jonathan Tremblay

CoRR, 2024

Imagine2touch: Predictive Tactile Sensing for Robotic Manipulation using Efficient Low-Dimensional Signals.

Abdallah Ayad, Adrian Röfer, Nick Heppert, Abhinav Valada

CoRR, 2024

CenterArt: Joint Shape Reconstruction and 6-DoF Grasp Estimation of Articulated Objects.

Sassan Mokhtar, Eugenio Chisari, Nick Heppert, Abhinav Valada

CoRR, 2024

PseudoTouch: Efficiently Imaging the Surface Feel of Objects for Robotic Manipulation.

Adrian Röfer, Nick Heppert, Abdallah Ayman, Eugenio Chisari, Abhinav Valada

CoRR, 2024

AO-Grasp: Articulated Object Grasp Generation.

Carlota Parés-Morlans, Claire Chen, Yijia Weng, Michelle Yi, Yuying Huang, Nick Heppert, Linqi Zhou, Leonidas J. Guibas, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

DITTO: Demonstration Imitation by Trajectory Transformation.

Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Learning Robotic Manipulation Policies from Point Clouds with Conditional Flow Matching.

Eugenio Chisari, Nick Heppert, Max Argus, Tim Welschehold, Thomas Brox, Abhinav Valada

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects.

Nick Heppert, Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Rares Andrei Ambrus, Jeannette Bohg, Abhinav Valada, Thomas Kollar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Category-Independent Articulated Object Tracking with Factor Graphs.

Nick Heppert, Toki Migimatsu, Brent Yi, Claire Chen, Jeannette Bohg

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022