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 …
Occlusion handling in generic object detection: A review
The significant power of deep learning networks has led to enormous development in object
detection. Over the last few years, object detector frameworks have achieved tremendous …
detection. Over the last few years, object detector frameworks have achieved tremendous …
Coarse-to-fine q-attention: Efficient learning for visual robotic manipulation via discretisation
We present a coarse-to-fine discretisation method that enables the use of discrete
reinforcement learning approaches in place of unstable and data-inefficient actor-critic …
reinforcement learning approaches in place of unstable and data-inefficient actor-critic …
Enhancing Deformable Object Manipulation By Using Interactive Perception and Assistive Tools
P Zhou - ar** synergy in clutter
We focus on the task of goal-oriented gras**, in which a robot is supposed to grasp a pre-
assigned goal object in clutter and needs some pre-grasp actions such as pushes to enable …
assigned goal object in clutter and needs some pre-grasp actions such as pushes to enable …
Visual foresight trees for object retrieval from clutter with nonprehensile rearrangement
This letter considers the problem of retrieving an object from many tightly packed objects
using a combination of robotic pushing and gras** actions. Object retrieval in dense …
using a combination of robotic pushing and gras** actions. Object retrieval in dense …
Rfusion: Robotic gras** via rf-visual sensing and learning
T Boroushaki, I Perper, M Nachin… - Proceedings of the 19th …, 2021 - dl.acm.org
We present the design, implementation, and evaluation of RFusion, a robotic system that
can search for and retrieve RFID-tagged items in line-of-sight, non-line-of-sight, and fully …
can search for and retrieve RFID-tagged items in line-of-sight, non-line-of-sight, and fully …
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 …
Lageo: a latent and geometrical framework for path and manipulation planning
P Zhou - 2022 - theses.lib.polyu.edu.hk
Path and manipulation planning has been gaining popularity within the robotics community
all the time due to its potential applications in many economically important applications. In …
all the time due to its potential applications in many economically important applications. In …
Robotic gras** of fully-occluded objects using rf perception
We present the design, implementation, and evaluation of RF-Grasp, a robotic system that
can grasp fully-occluded objects in unknown and unstructured environments. Unlike prior …
can grasp fully-occluded objects in unknown and unstructured environments. Unlike prior …