Lightweight detection networks for tea bud on complex agricultural environment via improved YOLO v4
Rapid and accurate detection of tender tea buds in the natural tea garden environment is the
basis for intelligent tea picking. However, complex models result in high hardware …
basis for intelligent tea picking. However, complex models result in high hardware …
Openstreetmap-based autonomous navigation for the four wheel-legged robot via 3d-lidar and ccd camera
J Li, H Qin, J Wang, J Li - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
OpenStreetMap (OSM) is widely used in outdoor navigation research recently, which is
publicly available and can provide a wide range of road information for outdoor robot …
publicly available and can provide a wide range of road information for outdoor robot …
Flexible gait transition for six wheel-legged robot with unstructured terrains
The flexibility of gait and trajectory planning with heavy payload are the main challenges for
legged stable walking of hexapod robots in unstructured terrain, especially in time-varying …
legged stable walking of hexapod robots in unstructured terrain, especially in time-varying …
Flexible motion framework of the six wheel-legged robot: Experimental results
In complex real-world scenarios, wheel-legged robots with maneuverability, stability, and
reliability have addressed growing research attention, especially in material transportation …
reliability have addressed growing research attention, especially in material transportation …
Human–robot skill transmission for mobile robot via learning by demonstration
This paper proposed a skill transmission technique for the mobile robot via learning by
demonstration. When the material is transported to the designated location, the robot can …
demonstration. When the material is transported to the designated location, the robot can …
Dual-view 3d object recognition and detection via lidar point cloud and camera image
J Li, R Li, J Li, J Wang, Q Wu, X Liu - Robotics and Autonomous Systems, 2022 - Elsevier
When it comes to the accuracy of autonomous motion, it is necessary to consider object
detection and recognition, especially for the robot application of the complex environment …
detection and recognition, especially for the robot application of the complex environment …
Neural networks‐based sliding mode tracking control for the four wheel‐legged robot under uncertain interaction
J Li, Q Wu, J Wang, J Li - International Journal of Robust and …, 2021 - Wiley Online Library
When considering the accuracy of tracking control, physical interaction such as structural
uncertainties and external dynamics is the main challenge in actual engineering scenarios …
uncertainties and external dynamics is the main challenge in actual engineering scenarios …
URTSegNet: A real-time segmentation network of unstructured road at night based on thermal infrared images for autonomous robot system
X Liu, J Wang, J Li - Control Engineering Practice, 2023 - Elsevier
When it comes to poor lighting conditions such as night, backlight, haze, etc., the detection
method of unstructured roads based on visible light cameras often fails. Therefore, this …
method of unstructured roads based on visible light cameras often fails. Therefore, this …
Iterative learning control for a distributed cloud robot with payload delivery
Purpose When it comes to the high accuracy autonomous motion of the mobile robot, it is
challenging to effectively control the robot to follow the desired trajectory and transport the …
challenging to effectively control the robot to follow the desired trajectory and transport the …
Towards broad learning networks on unmanned mobile robot for semantic segmentation
This article investigates the real-time semantic segmentation in robot engineering
applications based on the Broad Learning System (BLS), and a novel Multi-level …
applications based on the Broad Learning System (BLS), and a novel Multi-level …