Review of reinforcement learning for robotic grasping: Analysis and recommendations
This review paper provides a comprehensive analysis of over 100 research papers focused
on the challenges of robotic grasping and the effectiveness of various machine learning …
on the challenges of robotic grasping and the effectiveness of various machine learning …
Symmetry-aware Reinforcement Learning for Robotic Assembly under Partial Observability with a Soft Wrist
This study tackles the representative yet challenging contact-rich peg-in-hole task of robotic
assembly, using a soft wrist that can operate more safely and tolerate lower-frequency …
assembly, using a soft wrist that can operate more safely and tolerate lower-frequency …
Robotic Object Insertion with a Soft Wrist through Sim-to-Real Privileged Training
Y Fuchioka, CC Beltran-Hernandez… - 2024 IEEE/RSJ …, 2024 - ieeexplore.ieee.org
This study addresses contact-rich object insertion tasks under unstructured environments
using a robot with a soft wrist, enabling safe contact interactions. For the unstructured …
using a robot with a soft wrist, enabling safe contact interactions. For the unstructured …
GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Tasks
Large Language Models (LLMs) have been successful at generating robot policy code, but
so far these results have been limited to high-level tasks that do not require precise …
so far these results have been limited to high-level tasks that do not require precise …
A Standard Rigid Transformation Notation Convention for Robotics Research
P Nadeau - arXiv preprint arXiv:2405.07351, 2024 - arxiv.org
Notation conventions for rigid transformations are as diverse as they are fundamental to the
field of robotics. A well-defined convention that is practical, consistent and unambiguous is …
field of robotics. A well-defined convention that is practical, consistent and unambiguous is …