14 research outputs found
Sucrose Facilitates Rhizome Development of Perennial Rice (<i>Oryza longistaminata</i>)
Compared with annual crops, perennial crops with longer growing seasons and deeper root systems can fix more sunlight energy, and have advantages in reducing soil erosion and saving water, fertilizer and pesticide inputs. Rice is one of the most important food crops in the world. Perennial rice can be of great significance for protecting the ecological environment and coping with the shortage of young farmers due to urbanization. Oryza longistaminata (OL) is a rhizomatous wild rice with an AA genome and has strong biotic and abiotic resistances. The AA genome makes OL easy to cross with cultivated rice, thus making it an ideal donor material for perennial rice breeding. Sucrose plays an important role in the development and growth of plants. In this study, OL seedlings were cultured in medium with different concentrations of sucrose, and it was found that sucrose of appropriate concentrations can promote the sprout of basal axillary buds and the subsequent development of rhizomes. In order to explore the molecular mechanism, comparative transcriptome analysis was carried out with OL cultured under two concentrations of sucrose, 20 g/L and 100 g/L, respectively. The results showed that the boost of sucrose to rhizome elongation may be due to the glucose and fructose, hydrolyzed from the absorbed sucrose by vacuolar acid invertase. In addition, the consequent increased osmotic pressure of the cells would promote water absorption, which is benefit for the cell elongation, eventually causing the rhizome elongation. These results may provide a reference for elucidating the regulatory mechanism of sucrose on the rhizome development of OL
Nonlinear modeling and transition corridor calculation of a tiltrotor without cyclic pitch
In order to solve the problem of rotor airflow interference to the wing of tiltrotor UAV, the lift and drag in the slipstream area and the free flow area were calculated respectively according to the hydrodynamics theory and CFD simulation. The longitudinal nonlinear dynamics model of tiltrotor UAV is established by Newton-Euler method. In order to solve the problem that the lift and thrust are difficult to balance the body gravity in the transition flight mode, a method for calculating the transition corridor of a tiltrotor UAV without cyclic pitch is proposed. The boundary of the transition corridor is restricted by the Angle of attack of the wing and the thrust of the rotor. Considering the requirements of UAV cruise speed, flight safety and minimum energy consumption, the optimal transition curve is selected. The result show that the designed transition curve can ensure that the lift and the rotor thrust can balance the gravity completely and the Angle of attack is in a reasonable range, and the rotor force has enough margin of safety
DualAfford: Learning Collaborative Visual Affordance for Dual-gripper Object Manipulation
It is essential yet challenging for future home-assistant robots to
understand and manipulate diverse 3D objects in daily human environments.
Towards building scalable systems that can perform diverse manipulation tasks
over various 3D shapes, recent works have advocated and demonstrated promising
results learning visual actionable affordance, which labels every point over
the input 3D geometry with an action likelihood of accomplishing the downstream
task (e.g., pushing or picking-up). However, these works only studied
single-gripper manipulation tasks, yet many real-world tasks require two hands
to achieve collaboratively. In this work, we propose a novel learning
framework, DualAfford, to learn collaborative affordance for dual-gripper
manipulation tasks. The core design of the approach is to reduce the quadratic
problem for two grippers into two disentangled yet interconnected subtasks for
efficient learning. Using the large-scale PartNet-Mobility and ShapeNet
datasets, we set up four benchmark tasks for dual-gripper manipulation.
Experiments prove the effectiveness and superiority of our method over three
baselines. Additional results and videos can be found at
https://hyperplane-lab.github.io/DualAfford