This is the category for all pages / news posts related to A2I.
For research topics / papers that fall into AI, use the Topics –> AI category instead
Sudhanshu Kasewa
Sudhanshu joined ORI in 2018 and is supervised by Ingmar Posner.
Yizhe Wu
Yizhe joined ORI in 2018 and is supervised by Ingmar Posner.
Walter Goodwin
Walter joined ORI in 2018 and is supervised by Ingmar Posner and Ioannis Havoutis.
Chia-Man Hung
Chia-Man joined ORI in 2018 and is supervised by Ingmar Posner and Ioannis Havoutis.
Oliver Groth
Oli is a DPhil Student. Joined 2017.
Sasha Salter
Sasha is a DPhil Student. Joined 2017.
Fabian Fuchs
DPhil Student. Joined 2017.
Mutual Alignment Transfer Learning from Simulation to the Real World
Abstract - Training robots for operation in the real world is a complex, time consuming and potentially expensive task. Despite significant success of reinforcement learning in games and simulations, research in real robot applications has not been able to match similar progress. While sample complexity can be reduced by training policies in simulation, these can [...]
Adversarial Domain Adaptation
Addressing Appearance Change in Outdoor Robotics with Adversarial Domain Adaptation Abstract – Appearance changes due to weather and seasonal conditions represent a strong impediment to the robust implementation of machine learning systems in outdoor robotics. While the model is optimised for the training domain it will deliver degraded performance in application domains that underlie distributional shifts [...]
Probabilistic Prediction of Perception Performance
Learn from Experience: Probabilistic Prediction of Perception Performance to Avoid Failure Abstract –Despite the significant advances in machine learning and perception over the past few decades, perception algorithms can still be unreliable when deployed in challenging, time-varying environments. When these systems are used for autonomous decision-making, such as in self-driving vehicles, the impact of their [...]