Integrated learning for interactive synthetic characters
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Robot Learning From Demonstration
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Less is More: Active Learning with Support Vector Machines
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Natural methods for robot task learning: instructive demonstrations, generalization and practice
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Teachable robots: Understanding human teaching behavior to build more effective robot learners
Artificial Intelligence
Multi-thresholded approach to demonstration selection for interactive robot learning
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction
Teaching multi-robot coordination using demonstration of communication and state sharing
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3
Connection Science - Social Learning in Embodied Agents
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Learning Object Affordances: From Sensory--Motor Coordination to Imitation
IEEE Transactions on Robotics
Exploiting social partners in robot learning
Autonomous Robots
Web-based object category learning using human-robot interaction cues
Proceedings of the 6th international conference on Human-robot interaction
How do you like me in this: user embodiment preferences for companion agents
IVA'12 Proceedings of the 12th international conference on Intelligent Virtual Agents
Web-enhanced object category learning for domestic robots
Intelligent Service Robotics
Execution memory for grounding and coordination
Proceedings of the 8th ACM/IEEE international conference on Human-robot interaction
Familiarization to robot motion
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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A general learning task for a robot in a new environment is to learn about objects and what actions/effects they afford. To approach this, we look at ways that a human partner can intuitively help the robot learn, Socially Guided Machine Learning. We present experiments conducted with our robot, Junior, and make six observations characterizing how people approached teaching about objects. We show that Junior successfully used transparency to mitigate errors. Finally, we present the impact of "social" versus "non-social" data sets when training SVM classifiers.