A5016895404- Robot Manipulation and Learning
- Horticultural and Viticultural Research
- Tree Root and Stability Studies
- Soft Robotics and Applications
- Smart Agriculture and AI
- Tactile and Sensory Interactions
- Control and Dynamics of Mobile Robots
- Robotic Locomotion and Control
- Teleoperation and Haptic Systems
- Remote Sensing and LiDAR Applications
- Modular Robots and Swarm Intelligence
- Plant Surface Properties and Treatments
- Human Pose and Action Recognition
- Advanced Manufacturing and Logistics Optimization
- Reinforcement Learning in Robotics
- Robotic Mechanisms and Dynamics
- Hand Gesture Recognition Systems
Chinese University of Hong Kong
2024-2025
Università Cattolica del Sacro Cuore
2021-2023
Italian Institute of Technology
2021-2023
Even though mechanization has dramatically decreased labor requirements, vineyard management costs are still affected by selective operations such as winter pruning. Robotic solutions becoming more common in agriculture, however, few studies have focused on grapevines. This work aims at fine-tuning and testing two different deep neural networks for: (i) detecting pruning regions (PRs), (ii) performing organ segmentation of spur-pruned dormant The Faster R-CNN network was fine-tuned using...
In e-commerce fulfillment warehouses, manual item picking is a labor-intensive and tedious task. Therefore, automation of can improve efficiency save cost for businesses. This paper presents an automated robot solution that meets the requirements automating items from shelves. The hardware proposed system comprises lightweight manipulator, low-cost commercially available 3D camera custom-built robotic gripper. software modular comprising task planning module, identification registration...
Grapevine winter pruning is a complex task, that requires skilled workers to execute it correctly. The complexity of this task also the reason why time consuming. Considering operation takes about 80–120 hours/ha be completed, and therefore even more crucial in large-size vineyards, an automated system can help speed up process. To end, paper presents novel multidisciplinary approach tackles challenging by performing object segmentation on grapevine images, used create representative model...
Mobile manipulators that combine manipulability and mobility, are increasingly being used for various unstructured application scenarios in the field, e.g. vineyards. Therefore, coordinated motion of manipulator mobile base is an essential feature overall performance. In this paper, we explore a whole-body controller robot which composed 2-DoFs non-holonomic wheeled with 7-DoFs (non-holonomic manipulator, NWMM). This robotic platform designed to efficiently undertake complex grapevine...
ABSTRACT Bimanual mobile manipulation significantly enhances the capabilities of field robots that interact with diverse dynamic environments and expands range possible actions. This paper introduces a robust shared control architecture for remote Collaborative Dual‐arm Robot Manipulator (CURI), aimed at stable object transportation. Given contact is pivotal successful transportation, our focus on stabilizing between robot end‐effectors using servoing strategy. To maintain contact, it...
Designing robotic tasks for co-manipulation necessitates to exploit not only proprioceptive but also exteroceptive information improved safety and autonomy. Following such instinct, this research proposes formulate intuitive following human viewpoint by incorporating visuo-tactile perception. The visual data using depth cameras surveils determines the object dimensions intentions while tactile sensing ensures maintain desired contact avoid slippage. Experiment performed on robot platform...
Grapevine winter pruning is a complex task, that requires skilled workers to execute it correctly. The complexity makes time consuming. It an operation about 80-120 hours per hectare annually, making automated robotic system helps in speeding up the process crucial tool large-size vineyards. We will describe (a) novel expert annotated dataset for grapevine segmentation, (b) state of art neural network implementation and (c) generation points following agronomic rules, leveraging simplified...
Grapevine winter pruning is a complex task, that requires skilled workers to execute it correctly. The complexity of this task also the reason why time consuming. Considering operation takes about 80-120 hours/ha be completed, and therefore even more crucial in large-size vineyards, an automated system can help speed up process. To end, paper presents novel multidisciplinary approach tackles challenging by performing object segmentation on grapevine images, used create representative model...
Mobile manipulators that combine mobility and manipulability, are increasingly being used for various unstructured application scenarios in the field, e.g. vineyards. Therefore, coordinated motion of mobile base manipulator is an essential feature overall performance. In this paper, we explore a whole-body controller robot which composed 2-DoFs non-holonomic wheeled with 7-DoFs (non-holonomic manipulator, NWMM) This robotic platform designed to efficiently undertake complex grapevine pruning...