Assistive Robotics: An Overview
Assistive Technology and Artificial Intelligence, Applications in Robotics, User Interfaces and Natural Language Processing
ICML '06 Proceedings of the 23rd international conference on Machine learning
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Using a robot proxy to create common ground in exploration tasks
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Learning about objects with human teachers
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Maximum entropy inverse reinforcement learning
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Generality and legibility in mobile manipulation
Autonomous Robots
Effects of changing reliability on trust of robot systems
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
Trajectories and keyframes for kinesthetic teaching: a human-robot interaction perspective
HRI '12 Proceedings of the seventh annual ACM/IEEE international conference on Human-Robot Interaction
On Learning, Representing, and Generalizing a Task in a Humanoid Robot
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Spectrum
Legibility and predictability of robot motion
Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
CHOMP: Covariant Hamiltonian optimization for motion planning
International Journal of Robotics Research
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We study the effect of familiarization on the predictability of robot motion. Predictable motion is motion that matches the observer's expectation. Because of the difficulty robots have in learning motion from user demonstrations, we explore the idea of having users learn from robot demonstrations --- how accurate do users get at predicting how the robot will move? We find that although familiarization significantly increases predictability, its utility depends on how natural the motion is. Overall, familiarization shows great promise, but needs to be combined with other methods that generate appropriate motion with which to be familiarized.