Find all the Top AIRobotics papers. Links to pdf, code repos and demos are provided.
Building autonomous --- i.e., choosing goals based on one's needs -- and adaptive -- i.e., surviving in ever-changing environments -- agents has been ...
see more
We apply Dynamic Causal Models to electrocorticogram recordings from two macaque monkeys performing a problem-solving task that engages working memory...
see more
To interact seamlessly with robots, users must infer the causes of a robot's behavior and be confident about that inference. Hence, trust is a necessa...
see more
We consider the theoretical constraints on interactions between coupled cortical columns. Each column comprises a set of neural populations, where eac...
see more
Active inference is a first principle account of how autonomous agents operate in dynamic, non-stationary environments. This problem is also considere...
see more
Considers the problem of sensorimotor delays in the optimal
control of (smooth) eye movements under uncertainty. Specifically, we consider
delays in t...
see more
Intravascular ultrasound and optical coherence tomography are widely available for characterizing coronary stenoses and provide critical vessel parame...
see more
We introduce Conformal Decision Theory, a framework for producing safe autonomous decisions despite imperfect machine learning predictions. Examples o...
see more
Self-training is an important technique for solving semi-supervised learning problems. It leverages unlabeled data by generating pseudo-labels and com...
see more
Implantable devices that record neural activity and detect seizures have been adopted to issue warnings or trigger neurostimulation to suppress epilep...
see more
Introduces Trust Region Policy Optimization (TRPO), a novel iterative algorithm designed for optimizing policies with guaranteed monotonic improvement...
see more
We study a theory of reinforcement learning (RL) in which the learner receives binary feedback only once at the end of an episode. While this is an ex...
see more
