Tactile Neural De-rendering
J.A. Eyzaguirre, Miquel Oller, Nima Fazeli
Under Review, 2024
CV
Education
- Ph.D in Robotics, University of Michigan, Ann Arbor, MI, 2025 (expected)
- M.S. in Robotics, University of Michigan, Ann Arbor, MI, 2024
- B.S. in EECS, Technical University of Catalonia (UPC), Barcelona, Spain, 2018
- B.S. in Mechanical Engineering, Technical University of Catalonia (UPC), Barcelona, Spain 2018
Work experience
- 2020 - Present: Graduate Student Research Assistant
- University of Michigan, Ann Arbor
- Manipulation and Mechanisms Intelligence Laboratory MMINT
- Supervisor: Nima Fazeli
- June 2024 - September 2024: Graduate Intern
- Mitsubishi Electric Research Laboratory MERL
- Supervisors: Siddarth Jain, Devesh Jha, and Radu Corcodel
- 2018 - 2019: Visiting Researcher
- Massachusetts Institute of Technology (MIT)
- Manipulation and Mechanisms Laboratory MCube
- Supervisor: Alberto Rodriguez
Publications
Contrastive Touch-to-Touch Pretraining (CTTP)
Samanta Rodriguez, Yiming Dou, William van den Bogert, Miquel Oller, Kevin So, Andrew Owens, Nima Fazeli
Under Review, 2024Touch2Touch: Cross-Modal Tactile Generation for Object Manipulation
Samanta Rodriguez, Yiming Dou, Miquel Oller, Andrew Owens, Nima Fazeli
Under Review, 2024Neural Inverse Source Problems
Youngsun Wi, Jayjun Lee, Miquel Oller, Nima Fazeli
8th Conference on Robotic Learning (CoRL), 2024Tactile-Driven Non-Prehensile Object Manipulation via Extrinsic Contact Mode Control
Miquel Oller, Dmitry Berenson, Nima Fazeli
Robotic Science and Systems (RSS), 2024TactileVAD: Geometric Aliasing-Aware Dynamics for High-Resolution Tactile Control
Miquel Oller, Dmitry Berenson, Nima Fazeli
7th Conference on Robotic Learning (CoRL), 2023Manipulation via Membranes: High-Resolution and Highly Deformable Tactile Sensing and Control
Miquel Oller, Mireia Planas, Dmitry Berenson, Nima Fazeli
6th Conference on Robotic Learning (CoRL), 2022See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion
Nima Fazeli, Miquel Oller, Jiajun Wu, Zheng Wu, J. B. Tenenbaum, Alberto Rodriguez
Science Robotics, 2019