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Found 5 papers, 0 papers with code
How Can Everyday Users Efficiently Teach Robots by Demonstrations?
The results indicated a substantial improvement in robot learning efficiency from the teacher's demonstrations, with an improvement of up to 198% observed on the novel task.
Strawberry Detection using Mixed Training on Simulated and Real Data
This paper demonstrates how simulated images can be useful for object detection tasks in the agricultural sector, where labeled data can be scarce and costly to collect.
Affective Movement Generation using Laban Effort and Shape and Hidden Markov Models
The proposed approach is tested using a full-body movement dataset.
Active Preference Learning using Maximum Regret
In active preference learning, a user chooses the preferred behaviour from a set of alternatives, from which the robot learns the user's preferences, modeled as a parameterized cost function.
Detecting Falls with X-Factor Hidden Markov Models
This paper proposes an approach for the identification of falls using a wearable device in the absence of training data for falls but with plentiful data for normal ADL.
