Predicting fruit-pick success using a grasp classifier trained on a physical proxy
Author:
Affiliation:
1. Collaborative Robotics and Intelligent Systems (CoRIS) Institute, Oregon State University,Corvallis,OR,USA,97331
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9981026/9981028/09981716.pdf?arnumber=9981716
Reference21 articles.
1. Prioritizing robotic grasping of stacked fruit clusters based on stalk location in RGB-D images
2. Real-Time Fruit Recognition and Grasping Estimation for Robotic Apple Harvesting
3. Fruit Classification Utilizing a Robotic Gripper with Integrated Sensors and Adaptive Grasping
4. Grasping Control of Robot Hand Using Fuzzy Neural Network
5. A compliant, underactuated hand for robust manipulation
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1. WAVE: An open-source underWater Arm-Vehicle Emulator;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. Dynamic evaluation of a suction based gripper for fruit picking using a physical twin;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
3. Development of an Automatic Sweet Pepper Harvesting Robot and Experimental Evaluation;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
4. Grasp State Classification in Agricultural Manipulation;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01
5. Benchmarking Planar Rotation Capabilities of Robot Hands with Fingers;2023 20th International Conference on Ubiquitous Robots (UR);2023-06-25
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