Mark Van der Merwe

According to our database, Mark Van der Merwe authored at least 12 papers between 2019 and 2024.

Collaborative distances:

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

2024

This&That: Language-Gesture Controlled Video Generation for Robot Planning.

Boyang Wang, Nikhil Sridhar, Chao Feng, Mark Van der Merwe, Adam Fishman, Nima Fazeli, Jeong Joon Park

CoRR, 2024

2023

Integrated Object Deformation and Contact Patch Estimation from Visuo-Tactile Feedback.

Mark J. Van der Merwe, Youngsun Wi, Dmitry Berenson, Nima Fazeli

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

CALAMARI: Contact-Aware and Language conditioned spatial Action MApping for contact-RIch manipulation.

Youngsun Wi, Mark Van der Merwe, Pete Florence, Andy Zeng, Nima Fazeli

Proceedings of the Conference on Robot Learning, 2023

2022

Learning the Dynamics of Compliant Tool-Environment Interaction for Visuo-Tactile Contact Servoing.

Mark Van der Merwe, Dmitry Berenson, Nima Fazeli

Proceedings of the Conference on Robot Learning, 2022

Visuo-Tactile Transformers for Manipulation.

Yizhou Chen, Mark Van der Merwe, Andrea Sipos, Nima Fazeli

Proceedings of the Conference on Robot Learning, 2022

2021

Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching.

Tu-Hoa Pham, William Seto, Shreyansh Daftry, Barry Ridge, Johanna Hansen, Tristan Thrush, Mark Van der Merwe, Gerard Maggiolino, Alexander Brinkman, John Mayo, Yang Cheng, Curtis Padgett, Eric A. Kulczycki, Renaud Detry

IEEE Robotics Autom. Lett., 2021

Machine Vision based Sample-Tube Localization for Mars Sample Return.

Shreyansh Daftry, Barry Ridge, William Seto, Tu-Hoa Pham, Peter Ilhardt, Gerard Maggiolino, Mark Van der Merwe, Alexander Brinkman, John Mayo, Eric Kulczyski, Renaud Detry

CoRR, 2021

2020

Multifingered Grasp Planning via Inference in Deep Neural Networks: Outperforming Sampling by Learning Differentiable Models.

Qingkai Lu, Mark Van der Merwe, Balakumar Sundaralingam, Tucker Hermans

IEEE Robotics Autom. Mag., 2020

Multi-Fingered Grasp Planning via Inference in Deep Neural Networks.

Qingkai Lu, Mark Van der Merwe, Balakumar Sundaralingam, Tucker Hermans

CoRR, 2020

Multi-Fingered Active Grasp Learning.

Qingkai Lu, Mark Van der Merwe, Tucker Hermans

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Continuous 3D Reconstructions for Geometrically Aware Grasping.

Mark Van der Merwe, Qingkai Lu, Balakumar Sundaralingam, Martin Matak, Tucker Hermans

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Message Scheduling for Performant, Many-Core Belief Propagation.

Mark Van der Merwe, Vinu Joseph, Ganesh Gopalakrishnan

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019