Grasping of Static and Moving Objects Using a Vision-Based Control Approach

Keyphrases

• Control Approach 100%
• Robotics 100%
• Moving Objects 100%
• Vision-based Control 100%
• Static Object 100%
• Hand-eye 66%
• Minnesota 33%
• Adaptation 33%
• Robotic System 33%
• Reach-to-grasp 33%
• Servoing 33%
• Environmental Parameters 33%
• Control Algorithm 33%
• Manipulator 33%
• Control Paradigm 33%
• Vector-based 33%
• Uncalibrated 33%
• Control Vector 33%
• Visual Tracker 33%
• Robotic Agents 33%
• Flexible Operation 33%
• Image Projection 33%
• Stability Issues 33%
• Object Features 33%
• Adaptive Control Algorithm 33%
• Vision-guided 33%
• Autonomous Grasping 33%
• Computational Delay 33%
• Active Observation 33%
• Hand Configuration 33%
• Vision Algorithm 33%
• Active Vision 33%
• Environmental Knowledge 33%
• Manipulator Workspace 33%
• Minimum number 33%
• Systems Change 33%
• Proposed Work 33%
• Orientors 33%

Engineering

• Moving Object 100%
• Manipulator 66%
• Feature Point 66%
• Control Algorithm 66%
• Robotic System 33%
• Experimental Result 33%
• Environmental Parameter 33%
• Control Vector 33%
• Rigid Target 33%
• Select Object 33%
• Adaptive Control 33%

Computer Science

• Control Algorithm 100%
• Control Approach 100%
• Manipulator 100%
• Adaptive Control Systems 50%
• Hand Configuration 50%
• Experimental Result 50%