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Found 5 papers, 0 papers with code
Proceedings of the AI-HRI Symposium at AAAI-FSS 2022
The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) Symposium has been a successful venue of discussion and collaboration on AI theory and methods aimed at HRI since 2014.
An Ergodic Measure for Active Learning From Equilibrium
We show that our method is able to maintain Lyapunov attractiveness with respect to the equilibrium task while actively generating data for learning tasks such, as Bayesian optimization, model learning, and off-policy reinforcement learning.
Active Learning
Robotics
Active Area Coverage from Equilibrium
This paper develops a method for robots to integrate stability into actively seeking out informative measurements through coverage.
Robotics
Autonomous Visual Rendering using Physical Motion
This paper addresses the problem of enabling a robot to represent and recreate visual information through physical motion, focusing on drawing using pens, brushes, or other tools.
Robotics
Ergodic Exploration using Binary Sensing for Non-Parametric Shape Estimation
Current methods to estimate object shape---using either vision or touch---generally depend on high-resolution sensing.
Robotics
