Dynamic movement primitives in robotics: A tutorial survey
Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …
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 …
Learning to adapt in dynamic, real-world environments through meta-reinforcement learning
A Nagabandi, I Clavera, S Liu, RS Fearing… - ar** and manipulation in the presence
of uncertainty. This uncertainty is due to noisy sensing, inaccurate models, and hard-to …
of uncertainty. This uncertainty is due to noisy sensing, inaccurate models, and hard-to …
Neural dynamic policies for end-to-end sensorimotor learning
The current dominant paradigm in sensorimotor control, whether imitation or reinforcement
learning, is to train policies directly in raw action spaces such as torque, joint angle, or end …
learning, is to train policies directly in raw action spaces such as torque, joint angle, or end …
Adaptive compliant skill learning for contact-rich manipulation with human in the loop
It is essential for the robot manipulator to adapt to unexpected events and dynamic
environments while executing the physical contact-rich tasks. Although a range of methods …
environments while executing the physical contact-rich tasks. Although a range of methods …
Toward generalizable robotic dual-arm flip** manipulation
H Huang, C Zeng, L Cheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Robotic dual-arm manipulation often requires close cooperation between the arms. Dual-
arm manipulation tasks are always difficult to program in advance, and then, executed …
arm manipulation tasks are always difficult to program in advance, and then, executed …
Dynamic movement primitives: Volumetric obstacle avoidance
Dynamic Movement Primitives (DMPs) are a framework for learning a trajectory from a
demonstration. The trajectory can be learned efficiently after only one demonstration, and it …
demonstration. The trajectory can be learned efficiently after only one demonstration, and it …