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gptkbp:instance_of
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gptkb:project
|
|
gptkbp:bfsLayer
|
4
|
|
gptkbp:bfsParent
|
gptkb:Deep_Mind_Research_Lab
|
|
gptkbp:aims_to
|
Enhance robot autonomy
Improve robotic learning
Increase efficiency of robotic tasks
Reduce training time for robots
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|
gptkbp:applies_to
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gptkb:robot
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gptkbp:challenges
|
Scalability
Safety and Reliability
Generalization of AI Models
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|
gptkbp:collaborated_with
|
gptkb:Imperial_College_London
gptkb:University_of_Oxford
gptkb:University_College_London
|
|
gptkbp:collaborates_with
|
Various academic institutions
|
|
gptkbp:developed_by
|
gptkb:Deep_Mind_Technologies
|
|
gptkbp:focuses_on
|
gptkb:Artificial_Intelligence
|
|
gptkbp:has_impact_on
|
Robotics Industry
AI Research Community
|
|
gptkbp:has_part
|
Robotic Systems
Simulation Environments
Learning Algorithms
|
|
gptkbp:has_programs
|
gptkb:Autonomous_Vehicles
gptkb:Service_Robots
Healthcare
Manufacturing
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Deep Mind AI for Robotics Research
|
|
gptkbp:is_influenced_by
|
Technological Advancements
Current AI Trends
Ethical Considerations in AI
|
|
gptkbp:is_part_of
|
Deep Mind's Research Initiatives
|
|
gptkbp:is_recognized_for
|
Advancements in Robotics
Contributions to AI Ethics
Innovative AI Solutions
|
|
gptkbp:located_in
|
gptkb:London,_UK
|
|
gptkbp:published_by
|
gptkb:Deep_Reinforcement_Learning
AI in Robotics
Sim-to-Real Transfer
|
|
gptkbp:receives_funding_from
|
gptkb:Alphabet_Inc.
|
|
gptkbp:research
|
Human-Robot Interaction
Robot Navigation
Robot Manipulation
|
|
gptkbp:technique
|
gptkb:viewpoint
gptkb:software
gptkb:software_framework
|
|
gptkbp:utilizes
|
gptkb:software_framework
|