no code implementations • 6 Apr 2022 • Eugene Valassakis, Georgios Papagiannis, Norman Di Palo, Edward Johns
We present DOME, a novel method for one-shot imitation learning, where a task can be learned from just a single demonstration and then be deployed immediately, without any further data collection or training.
no code implementations • 1 Nov 2021 • Eugene Valassakis, Kamil Dreczkowski, Edward Johns
Eye-in-hand camera calibration is a fundamental and long-studied problem in robotics.
no code implementations • 24 May 2021 • Eugene Valassakis, Norman Di Palo, Edward Johns
In this paper, we study the problem of zero-shot sim-to-real when the task requires both highly precise control with sub-millimetre error tolerance, and wide task space generalisation.
no code implementations • 15 Aug 2020 • Eugene Valassakis, Zihan Ding, Edward Johns
Zero-shot sim-to-real transfer of tasks with complex dynamics is a highly challenging and unsolved problem.