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Utilizing human-inspired dexterous picking skills for enabling context-aware robotic manipulation in multi-object scenarios
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Epsilon Optimal Path Planning for Active Vision for Grasping
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Perception-Driven Robotic Manipulation and Motion Planning for Packaging of Dynamic Compressible Objects
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Deep Reinforcement Learning for Intelligent Frontier Ranking in Search-and-rescue Scenarios
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Design and Analysis of Active Vision Methods for Robotic Grasping of Novel Objects
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Autonomous Vision-based Control for Within-hand Manipulation using Variable Friction Fingers
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Making Concentric Tube Robots More Accessible: A New Open-Source Design Made of 3D-Printed and Other Easy-to-Source Materials
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Region-Based Planning for a 3D In-Hand Manipulation Platform Leveraging Variable Friction Fingers and External Surfaces
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Development of an Automation Platform for Fabric Manipulation and Assembly
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Pointwise and Instance Segmentation for 3D Point Cloud
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