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 …

Rearrangement: A challenge for embodied ai

D Batra, AX Chang, S Chernova, AJ Davison… - ar** for target-driven object manipulation in clutter
A Murali, A Mousavian, C Eppner… - … on Robotics and …, 2020 - ieeexplore.ieee.org
Gras** in cluttered environments is a fundamental but challenging robotic skill. It requires
both reasoning about unseen object parts and potential collisions with the manipulator. Most …

A roadmap for us robotics–from internet to robotics 2020 edition

H Christensen, N Amato, H Yanco… - … and Trends® in …, 2021 - nowpublishers.com
Recently, the robotics industry celebrated its 60-year anniversary. We have used robots for
more than six decades to empower people to do things that are typically dirty, dull and/or …

Multi-stage cable routing through hierarchical imitation learning

J Luo, C Xu, X Geng, G Feng, K Fang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
We study the problem of learning to perform multistage robotic manipulation tasks, with
applications to cable routing, where the robot must route a cable through a series of clips …

Invigorate: Interactive visual grounding and gras** in clutter

H Zhang, Y Lu, C Yu, D Hsu, X Lan, N Zheng - ar** the invisible
Y Yang, H Liang, C Choi - IEEE Robotics and Automation …, 2020 - ieeexplore.ieee.org
We study an emerging problem named “gras** the invisible” in robotic manipulation, in
which a robot is tasked to grasp an initially invisible target object via a sequence of pushing …

Towards Living Machines: current and future trends of tactile sensing, gras**, and social robotics

V Vouloutsi, L Cominelli, M Dogar… - Bioinspiration & …, 2023 - iopscience.iop.org
The development of future technologies can be highly influenced by our deeper
understanding of the principles that underlie living organisms. The Living Machines …

Visual foresight trees for object retrieval from clutter with nonprehensile rearrangement

B Huang, SD Han, J Yu… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
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 …