Peduncle collision-free gras** based on deep reinforcement learning for tomato harvesting robot
Y Li, Q Feng, Y Zhang, C Peng, Y Ma, C Liu… - … and Electronics in …, 2024 - Elsevier
Collision-free gras** of the thin, brief peduncles connecting cherry tomato clusters to the
main stem was crucial for tomato harvesting robots. Recognizing that the optimal operating …
main stem was crucial for tomato harvesting robots. Recognizing that the optimal operating …
Visual–tactile learning of robotic cable-in-duct installation skills
B Duan, K Qian, A Liu, S Luo - Automation in Construction, 2025 - Elsevier
Cable-in-duct installation is one of the most challenging contact-rich interior finishing tasks
for construction robots. Such precise robotic cable manipulation skills are expected to be …
for construction robots. Such precise robotic cable manipulation skills are expected to be …
Self-supervised learning for joint pushing and gras** policies in highly cluttered environments
Y Wang, K Mokhtar, C Heemskerk… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Robotic systems often face challenges when attempting to grasp a target object due to
interference from surrounding items. We propose a Deep Reinforcement Learning (DRL) …
interference from surrounding items. We propose a Deep Reinforcement Learning (DRL) …
An Improved SAC-Based Deep Reinforcement Learning Framework for Collaborative Pushing and Gras** in Underwater Environments
J Gao, Y Li, Y Chen, Y He, J Guo - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Autonomous gras** is a fundamental task for underwater robots, but direct gras** for
tightly stacked objects will lead to collisions and grasp failures, which requires pushing …
tightly stacked objects will lead to collisions and grasp failures, which requires pushing …
Learning Dual-Arm Push and Grasp Synergy in Dense Clutter
Reducing Sim-to-Real Domain Gaps of Visual Sensors for Learning Environment-constrained Visuomotor Policy
X **g, K Qian, B Duan - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Simulation engines enable safe training of robotic skills, but domain gaps between
simulated and real sensors hinder deployment. However, existing pixel-level adaptation …
simulated and real sensors hinder deployment. However, existing pixel-level adaptation …
Systematic Review of Smart Robotic Manufacturing in the Context of Industry 4.0
LAD Phan, HQT Ngo - … Conference on Context-Aware Systems and …, 2023 - Springer
In the rapidly evolving landscape of industrial revolution, smart robotic manufacturing has
emerged as a game-changing phenomenon, revolutionizing traditional production …
emerged as a game-changing phenomenon, revolutionizing traditional production …
Reinforcement Learning for Manipulating Large Flat Objects on the Horizontal Surface
H Yang, C Ma, X Chen, X Lan - 2024 IEEE 14th International …, 2024 - ieeexplore.ieee.org
Gras** large rigid flat objects on a horizontal surface is often considered a challenging
task. Previous work has implemented pushing objects against walls or table edges to make …
task. Previous work has implemented pushing objects against walls or table edges to make …
Collision-free and efficient robotic gras** based on hierarchical reinforcement learning
Y Li, F Fang, C Liu, Y Wang, T Fan - IET Conference Proceedings CP905, 2024 - IET
In the realm of robotics, gras** within unstructured environments has consistently been a
challenging task. Direct gras** often results in failures due to collisions, and some pre …
challenging task. Direct gras** often results in failures due to collisions, and some pre …