4 citations · 4 across the 1 of their papers we have counts for
6 papers · 1 filter
Rainbow Deep Q-Learning with Kinematics-Aware Design for Cooperative Delta and 3-RRS Parallel Robot Insertion
Hassen Nigatu, Gaokun Shi, Jituo Li +2
This paper presents a kinematics-aware deep reinforcement learning framework based on Rainbow Deep Q-Networks (DQN) for cooperative peg-in-hole manipulation by a Delta parallel rob…
Quantum Machine Learning and Grover's Algorithm for Quantum Optimization of Robotic Manipulators
Hassen Nigatu, Shi Gaokun, Li Jituo +3
Optimizing high-degree of freedom robotic manipulators requires searching complex, high-dimensional configuration spaces, a task that is computationally challenging for classical m…
Construction of a Multiple-DOF Under-actuated Gripper with Force-Sensing via Deep Learning
Jihao Li, Keqi Zhu, Guodong Lu +2
We present a novel under-actuated gripper with two 3-joint fingers, which realizes force feedback control by the deep learning technique- Long Short-Term Memory (LSTM) model, witho…
The Stiffness of 3-PRS PM Across Parasitic and Orientational Workspace
Hassen Nigatu, Li Jihao, Keqi Zhu +4
This study investigates the stiffness characteristics of the Sprint Z3 head, also known as 3-PRS Parallel Kinematics Machines, which are among the most extensively researched and v…
Under-actuated Robotic Gripper with Multiple Grasping Modes Inspired by Human Finger
Jihao Li, Tingbo Liao, Hassen Nigatu +3
Under-actuated robot grippers as a pervasive tool of robots have become a considerable research focus. Despite their simplicity of mechanical design and control strategy, they suff…
Unveiling the Complete Variant of Spherical Robots
Hassen Nigatu, Li Jihao, Gaokun Shi +2
This study presents a systematic enumeration of spherical () type parallel robots' variants using an analytical velocity-level approach. These robots are known for their abi…