[LIBRO][B] Robot learning from human teachers
S Chernova, AL Thomaz - 2022 - books.google.com
Learning from Demonstration (LfD) explores techniques for learning a task policy from
examples provided by a human teacher. The field of LfD has grown into an extensive body …
examples provided by a human teacher. The field of LfD has grown into an extensive body …
Scaling robot supervision to hundreds of hours with roboturk: Robotic manipulation dataset through human reasoning and dexterity
Large, richly annotated datasets have accelerated progress in fields such as computer
vision and natural language processing, but replicating these successes in robotics has …
vision and natural language processing, but replicating these successes in robotics has …
Robot web tools: Efficient messaging for cloud robotics
Since its official introduction in 2012, the Robot Web Tools project has grown tremendously
as an open-source community, enabling new levels of interoperability and portability across …
as an open-source community, enabling new levels of interoperability and portability across …
Data-driven HRI: Learning social behaviors by example from human–human interaction
Recent studies in human-robot interaction (HRI) have investigated ways to harness the
power of the crowd for the purpose of creating robot interaction logic through games and …
power of the crowd for the purpose of creating robot interaction logic through games and …
A cloud-based robot system for long-term interaction: principles, implementation, lessons learned
Making the transition to long-term interaction with social-robot systems has been identified
as one of the main challenges in human-robot interaction. This article identifies four design …
as one of the main challenges in human-robot interaction. This article identifies four design …
Robobarista: Object part based transfer of manipulation trajectories from crowd-sourcing in 3d pointclouds
There is a large variety of objects and appliances in human environments, such as stoves,
coffee dispensers, juice extractors, and so on. It is challenging for a roboticist to program a …
coffee dispensers, juice extractors, and so on. It is challenging for a roboticist to program a …
Learning proactive behavior for interactive social robots
Learning human–robot interaction logic from example interaction data has the potential to
leverage “big data” to reduce the effort and time spent on designing interaction logic or …
leverage “big data” to reduce the effort and time spent on designing interaction logic or …
Incentive mechanism design for truth discovery in crowdsourcing with copiers
Crowdsourcing has become an effective tool to utilize human intelligence to perform tasks
that are challenging for machines. Many truth discovery methods and incentive mechanisms …
that are challenging for machines. Many truth discovery methods and incentive mechanisms …
Incentive mechanisms for large-scale crowdsourcing task diffusion based on social influence
Crowdsourcing has become an effective tool to utilize human intelligence to perform tasks
that are challenging for machines. Many incentive mechanisms for crowdsourcing systems …
that are challenging for machines. Many incentive mechanisms for crowdsourcing systems …
Human trust after drone failure: Study of the effects of drone type and failure type on human-drone trust
Advances in the navigation and autonomy of drones, along with significant advances in
manufacturing microprocessors and sensor systems, caused a growing trend in deploying …
manufacturing microprocessors and sensor systems, caused a growing trend in deploying …