Improving the Visual Perception of Heavy Duty Manipulators in Challenging Scenarios

Keyphrases

• Visual Perception 100%
• Manipulator 100%
• Computer Vision 100%
• Robotic Manipulator 100%
• Pose Estimation 100%
• Mining Industry 100%
• Heavy-duty Manipulator 100%
• Real-world Problems 50%
• Three-dimensional (3D) 50%
• Reactor 50%
• Time-of-flight Sensor 50%
• Stereo Camera 50%
• Algorithm Design 50%
• Remote Handling 50%
• Fast Detection 50%
• Overlapping Objects 50%
• Harsh Environment 50%
• Fusion Reactor 50%
• Maintenance Task 50%
• Robotics 50%
• Outdoor Environment 50%
• Heavy-duty 50%
• Noise Level 50%
• System-level Integration 50%
• Surrounding Environment 50%
• Virtual Environment 50%
• Divertor Cassette 50%
• Visual Data 50%
• Physical Condition 50%
• Overall Accuracy 50%
• Computer Vision Algorithms 50%
• Clustering Methods 50%
• Object Pose 50%
• Robotic Applications 50%
• Deep Learning 50%
• Iterative Closest Point Algorithm 50%
• Object Tracking 50%
• Autonomous Operation 50%
• Modern Approaches 50%
• Dynamic Scene 50%
• Detection-estimation 50%
• Rock Detection 50%
• Cluttered Scene 50%
• Machine Learning Learning 50%
• Deep Machine Learning 50%
• Robotic Vision 50%
• Visual System 50%
• Scene Understanding 50%
• Fast Localization 50%
• Target Object Detection 50%
• Environmental Uncertainty 50%
• Hydraulic Hammer 50%
• Vision Machine 50%
• Three-dimensional Sensor 50%
• Unsupervised Machine Learning Techniques 50%
• System Accuracy 50%
• Track-before-detect 50%
• Results Accuracy 50%
• Visual Perception System 50%
• Popular Time 50%
• Novel Clustering 50%

Computer Science

• Manipulator 100%
• Robotics 80%
• Robot 40%
• Pose Estimation 40%
• Computer Vision 40%
• Learning System 40%
• Machine Learning 40%
• stereo camera 20%
• Algorithm Design 20%
• Research Paper 20%
• Maintenance Task 20%
• Harsh Environment 20%
• Real-World Problem 20%
• Object Detection 20%
• Clustering Method 20%
• Computer Vision Algorithms 20%
• Robotics Application 20%
• Published Research 20%
• Virtual Reality System 20%
• Modern Approach 20%
• Surrounding Environment 20%
• Scene Understanding 20%
• Physical Condition 20%
• Deep Learning Method 20%