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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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Kaiming Fu
Kaiming Fu
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Posts
Poster Presentation at IEEE/RSI International Conference on Intelligent Robots and Systems (IROS) Workshop
Published:
Topic: Walnut Detection Through Deep Learning Enhanced by Multispectral Synthetic Images
The accurate identification of walnuts within orchards brings forth a plethora of advantages, profoundly amplifying the efficiency and productivity of walnut orchard management. In this study, we present a novel approach to improve walnut detection efficiency, utilizing YOLOv5 trained on an enriched image set that incorporates both real and synthetic RGB and NIR images.
Poster Presentation at IEEE/RSI International Conference on Intelligent Robots and Systems (IROS) Workshop
Published:
Topic: Fusion-Driven Tree Reconstruction and Fruit Localization: Advancing Precision in Agriculture
Fruit distribution is pivotal in shaping the future of both agriculture and agricultural robotics, paving the way for a streamlined supply chain. This study introduces an innovative methodology that harnesses the synergy of RGB imagery, LiDAR, and IMU data, to achieve intricate tree reconstructions and the pinpoint localization of fruits.
Poster Presentation at IEEE/RSI International Conference on Intelligent Robots and Systems (IROS) Workshop
Published:
Topic: Walnut Detection Through Deep Learning Enhanced by Multispectral Synthetic Images
The accurate identification of walnuts within orchards brings forth a plethora of advantages, profoundly amplifying the efficiency and productivity of walnut orchard management. In this study, we present a novel approach to improve walnut detection efficiency, utilizing YOLOv5 trained on an enriched image set that incorporates both real and synthetic RGB and NIR images.
Poster Presentation at IEEE/RSI International Conference on Intelligent Robots and Systems (IROS) Workshop
Published:
Topic: Fusion-Driven Tree Reconstruction and Fruit Localization: Advancing Precision in Agriculture
Fruit distribution is pivotal in shaping the future of both agriculture and agricultural robotics, paving the way for a streamlined supply chain. This study introduces an innovative methodology that harnesses the synergy of RGB imagery, LiDAR, and IMU data, to achieve intricate tree reconstructions and the pinpoint localization of fruits.
Poster Presentation at International Forum for Agricultural Robotics (FIRA USA)
Published:
Topic: Human-following Robot for Crop Transportation
The problem addressed by our robot is to reduce the human effort involved in transporting heavy trays filled with fruits/vegetables, thus allowing human energy to be focused on the actual harvesting task. Our proposed solution is to develop a harvesting assistant robot that can follow the human operators in real-time and transport the harvested crops to storage locations, eliminating the need for manual transport by a tractor. The robot will also have the capability to monitor worker posture and provide real-time feedback on posture quality.
Poster Presentation at International Forum for Agricultural Robotics (FIRA USA)
Published:
Topic: Human-following Robot for Crop Transportation
The problem addressed by our robot is to reduce the human effort involved in transporting heavy trays filled with fruits/vegetables, thus allowing human energy to be focused on the actual harvesting task. Our proposed solution is to develop a harvesting assistant robot that can follow the human operators in real-time and transport the harvested crops to storage locations, eliminating the need for manual transport by a tractor. The robot will also have the capability to monitor worker posture and provide real-time feedback on posture quality.
Annual Farm Robotics Challenge
Published:
The challenge is being sponsored by The VINE, an initiative of the University of California Agriculture and Natural Resources focused on agricultural innovation, in partnership with the AI Institute for Next Generation Food Systems (AIFS), Farm-ng robotics company, and the Fresno-Merced Future of Food (F3) Innovation coalition.
Annual Farm Robotics Challenge
Published:
The challenge is being sponsored by The VINE, an initiative of the University of California Agriculture and Natural Resources focused on agricultural innovation, in partnership with the AI Institute for Next Generation Food Systems (AIFS), Farm-ng robotics company, and the Fresno-Merced Future of Food (F3) Innovation coalition.
“Inceptio-Tsinghua AIR Cup” Autonomous Driving Challenge
Published:
“Inceptio & Tsinghua AIR Cup” is the first competition in China that covers both trunk logistics and urban road. The first competition focuses on decision planning algorithms, inviting global autonomous driving enthusiasts to solve real-world technical problems and challenge the limits of algorithms under the constraints of mass production.
“Inceptio-Tsinghua AIR Cup” Autonomous Driving Challenge
Published:
“Inceptio & Tsinghua AIR Cup” is the first competition in China that covers both trunk logistics and urban road. The first competition focuses on decision planning algorithms, inviting global autonomous driving enthusiasts to solve real-world technical problems and challenge the limits of algorithms under the constraints of mass production.
Oral Presentation at ASABE Annual International Meeting
Published:
Topic: Computer-aided Design and Optimization of a Shake-catch Soft Fruit Harvester
Tree fruit harvesting is both time-sensitive and demanding, leaving tree fruit growers susceptible to seasonal labor shortages. To minimize fruit damage during shake-catch harvesting, we suggest employing multi-level fruit catching (MFC) systems. These systems consist of closely spaced, soft rods arranged at multiple heights. Across various mechanical design applications, computer-aided design (CAD) modeling tools have proven invaluable for rapid design refinement and cost-effective prototyping. In this study, we introduce an innovative CAD approach to determine the ideal number of layers that maximizes marketable fruit collection efficiency in MFC systems, defined as the percentage of collected fruits with acceptable bruising levels.
Oral Presentation at ASABE Annual International Meeting
Published:
Topic: Computer-aided Design and Optimization of a Shake-catch Soft Fruit Harvester
Tree fruit harvesting is both time-sensitive and demanding, leaving tree fruit growers susceptible to seasonal labor shortages. To minimize fruit damage during shake-catch harvesting, we suggest employing multi-level fruit catching (MFC) systems. These systems consist of closely spaced, soft rods arranged at multiple heights. Across various mechanical design applications, computer-aided design (CAD) modeling tools have proven invaluable for rapid design refinement and cost-effective prototyping. In this study, we introduce an innovative CAD approach to determine the ideal number of layers that maximizes marketable fruit collection efficiency in MFC systems, defined as the percentage of collected fruits with acceptable bruising levels.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Paper Title Number 1
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Paper Title Number 2
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Paper Title Number 3
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.