Towards autonomous selective harvesting: A review of robot perception, robot design, motion planning and control
This paper provides an overview of the current state‐of‐the‐art in selective harvesting robots
(SHRs) and their potential for addressing the challenges of global food production. SHRs …
(SHRs) and their potential for addressing the challenges of global food production. SHRs …
Control system design and methods for collaborative robots
Collaborative robots cooperate with humans to assist them in undertaking simple-to-
complex tasks in several fields, including industry, education, agriculture, healthcare …
complex tasks in several fields, including industry, education, agriculture, healthcare …
Deep learning-based monocular obstacle avoidance for unmanned aerial vehicle navigation in tree plantations: Faster region-based convolutional neural network …
Abstract In recent years, Unmanned Aerial Vehicles (UAVs) are widely utilized in precision
agriculture, such as tree plantations. Due to limited intelligence, these UAVs can only …
agriculture, such as tree plantations. Due to limited intelligence, these UAVs can only …
Enhanced center constraint weighted A* algorithm for path planning of petrochemical inspection robot
X Lai, JH Li, J Chambers - Journal of Intelligent & Robotic Systems, 2021 - Springer
In many practical applications of robot path planning, finding the shortest path is critical,
while the response time is often overlooked but important. To address the problems of …
while the response time is often overlooked but important. To address the problems of …
Constrained probabilistic movement primitives for robot trajectory adaptation
Placing robotsoutside controlled conditions requires versatile movement representations
that allow robots to learn new tasks and adapt them to environmental changes. The …
that allow robots to learn new tasks and adapt them to environmental changes. The …
Collision-free trajectory planning for robotic assembly of lightweight structures
This research presents a trajectory planning approach for robotic assembly of lightweight
structures for COVID-19 healthcare facilities. The prefabricated building components of …
structures for COVID-19 healthcare facilities. The prefabricated building components of …
Benchmarking and optimization of robot motion planning with motion planning pipeline
S Liu, P Liu - The International Journal of Advanced Manufacturing …, 2022 - Springer
Algorithms have been designed for robot motion planning with various adaptability to
different problems. However, how to choose the most suitable planner in a scene has …
different problems. However, how to choose the most suitable planner in a scene has …
Learning implicit priors for motion optimization
Motion optimization is an effective framework for generating smooth and safe trajectories for
robotic manipulation tasks. However, it suffers from local optima that hinder its applicability …
robotic manipulation tasks. However, it suffers from local optima that hinder its applicability …
Type-2 fuzzy model-based movement primitives for imitation learning
Imitation learning is an important direction in the area of robot skill learning. It provides a
user-friendly and straightforward solution to transfer human demonstrations to robots. In this …
user-friendly and straightforward solution to transfer human demonstrations to robots. In this …
A review of motion planning algorithms for robotic arm systems
S Liu, P Liu - RiTA 2020: Proceedings of the 8th International …, 2021 - Springer
Motion planning plays a vital role in the field of robotics. This paper discusses the latest
advancements in the research and development of various algorithms and approaches in …
advancements in the research and development of various algorithms and approaches in …