Deniz Erdogmus

Latest

• Systems and Methods for Robotic Grippers With Fiber Optic Spectroscopy
• A Vision for Cleaner Rivers: Harnessing Snapshot Hyperspectral Imaging to Detect Macro-Plastic Litter
• Real-Time Object Localization for Human-Robot Handover
• Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control
• Pregrasp object material classification by a novel gripper design with integrated spectroscopy
• Vast: Visual and spectral terrain classification in unstructured multi-class environments
• End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning
• End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning
• Multimodal fusion of emg and vision for human grasp intent inference in prosthetic hand control
• HANDS: a multimodal dataset for modeling toward human grasp intent inference in prosthetic hands
• Towards End-to-End control of a robot prosthetic hand via reinforcement learning
• From hand-perspective visual information to grasp type probabilities: deep learning via ranking labels
• Human-in-the-Loop Prosthetic Robot Hand Control Using Particle Filters for Grasp Selection
• Brain interface to control a tele-operated robot
• The future of human-in-the-loop cyber-physical systems