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Object-aware interactive perception for tabletop scene exploration
Cagatay Koc
*
,
Sanem Sariel
*
Corresponding author for this work
Department of Artificial Intelligence and Data Engineering
Istanbul Technical University
Research output
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peer-review
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Keyphrases
Tabletop
100%
Interactive Perception
100%
Scene Exploration
100%
Object-aware
100%
Occlusion
66%
Object Manipulation
66%
Action Space
66%
Object Information
66%
Perception System
66%
Interactive Behavior
66%
Selection Strategy
33%
Comprehensive Approach
33%
Robotics
33%
Deep Learning Methods
33%
Multi-object
33%
Cognitive Robotics
33%
State-of-the-art Techniques
33%
Robotic Platform
33%
Performance Increase
33%
Real-world Experiment
33%
Perception-action
33%
Semantic Information
33%
Robot Perception
33%
RGB-D Camera
33%
Increased Reliability
33%
Single Object
33%
Cluttered Scene
33%
Real-world Challenges
33%
Corresponding Objects
33%
Sensing Uncertainty
33%
Systems Focus
33%
Volumetric Information
33%
Positioning Sensor
33%
Utility Metrics
33%
Perceptual System
33%
Active Perception
33%
Depth Camera
33%
Recent Advancements
33%
Informed Decision-making
33%
Next Best Action
33%
Computer Science
Robot
100%
Information Object
100%
Deep Learning Technique
50%
robotic platform
50%
Informed Decision
50%
Experimental Result
50%
Selection Process
50%
Perceptual System
50%
Simulated World
50%
Heterogeneous Set
50%