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A review on EMG-based motor intention prediction of continuous human upper limb motion for human-robot collaboration
Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …
intention prediction, which is an essential element in human-robot collaboration systems …
Review of deep reinforcement learning-based object gras**: Techniques, open challenges, and recommendations
MQ Mohammed, KL Chung, CS Chyi - Ieee Access, 2020 - ieeexplore.ieee.org
The motivation behind our work is to review and analyze the most relevant studies on deep
reinforcement learning-based object manipulation. Various studies are examined through a …
reinforcement learning-based object manipulation. Various studies are examined through a …
Deep belief network and linear perceptron based cognitive computing for collaborative robots
Z Lv, L Qiao - Applied Soft Computing, 2020 - Elsevier
Objective: This paper is to analyze the performance of the control system of collaborative
robots based on cognitive computing technology. Methods: This study combines cognitive …
robots based on cognitive computing technology. Methods: This study combines cognitive …
Alphablock: Embodied finetuning for vision-language reasoning in robot manipulation
C **, W Tan, J Yang, B Liu, R Song, L Wang… - ar**_of_Objects_in_Robotics/links/6525bee2c64260390bde97ef/Comprehensive-Review-on-Reaching-and-Gras**-of-Objects-in-Robotics.pdf" data-clk="hl=tr&sa=T&oi=gga&ct=gga&cd=4&d=6374463647530486634&ei=sMG7Z-mZCJuoieoPvZLH-Qo" data-clk-atid="aguyAOqkdlgJ" target="_blank">[PDF] researchgate.net
Comprehensive review on reaching and gras** of objects in robotics
QM Marwan, SC Chua, LC Kwek - Robotica, 2021 - cambridge.org
Interaction between a robot and its environment requires perception about the environment,
which helps the robot in making a clear decision about the object type and its location. After …
which helps the robot in making a clear decision about the object type and its location. After …
[HTML][HTML] Review of learning-based robotic manipulation in cluttered environments
MQ Mohammed, LC Kwek, SC Chua, A Al-Dhaqm… - Sensors, 2022 - mdpi.com
Robotic manipulation refers to how robots intelligently interact with the objects in their
surroundings, such as gras** and carrying an object from one place to another. Dexterous …
surroundings, such as gras** and carrying an object from one place to another. Dexterous …
[HTML][HTML] Ontology-based knowledge representation in robotic systems: A survey oriented toward applications
Knowledge representation in autonomous robots with social roles has steadily gained
importance through their supportive task assistance in domestic, hospital, and industrial …
importance through their supportive task assistance in domestic, hospital, and industrial …
A knowledge-based approach for multiagent collaboration in smart home: From activity recognition to guidance service
Smart home (SH) as an emerging paradigm for alleviating the overstretched healthcare
resources, and enhancing the quality of life has received increasing attention. While the …
resources, and enhancing the quality of life has received increasing attention. While the …
Semantic grounding for long-term autonomy of mobile robots toward dynamic object search in home environments
In this article, we presents an effective semantic grounding scheme to long-term mobile
robots for dynamic object search in open/dynamic home environments. The challenge of this …
robots for dynamic object search in open/dynamic home environments. The challenge of this …
Building metric-topological map to efficient object search for mobile robot
In this article, an effective solution is presented for efficient robotic object search by
leveraging metric-topological map. Based on the reference of objects, we construct a novel …
leveraging metric-topological map. Based on the reference of objects, we construct a novel …