roto 2.0: Robot Tactile Olympiad

A reinforcement learning benchmark environment to standardise and promote research in tactile-based manipulation (simulated in NVIDIA Isaac Lab).

Elle Miller1 Jayaram Reddy2 Ayush Deshmukh1 Trevor McInroe1 David Abel1 Oisin Mac Aodha1 Sethu Vijayakumar1

1 University of Edinburgh 2 National University of Singapore

Introduced in NeurIPS 2025 Paper project page →

Baoding: Shadow, Allegro, ORCA, Shadow Lite

States+Proprio+Binary Tactile

Proprio+Binary Tactile

Bounce: Shadow, Allegro, ORCA, Shadow Lite

States+Proprio+Binary Tactile

Proprio+Binary Tactile

Citation

If you use RoTO or this work, please cite:

@inproceedings{miller2025tactilerl,
  author    = {Miller, Elle and McInroe, Trevor and Abel, David and Mac Aodha, Oisin and Vijayakumar, Sethu},
  title     = {Enhancing Tactile-based Reinforcement Learning for Robotic Control},
  booktitle   = {NeurIPS},
  year      = {2025},
}