A key challenge in intelligent robotics is creating robots that are capable of directly interacting with the world around them to achieve their goals. The last decade has seen …
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 …
In this paper, we propose a real-world benchmark for studying robotic learning in the context of functional manipulation: a robot needs to accomplish complex long-horizon behaviors by …
Featured Application Assembly tasks with industrial robot manipulators. Abstract Industrial robot manipulators are playing a significant role in modern manufacturing industries …
J Duan, Y Gan, M Chen, X Dai - Robotics and Autonomous Systems, 2018 - Elsevier
The traditional constant impedance control is a simple but effective method widely used in many fields including contact force tracking. Using this method, the location of the …
Z Li, B Huang, Z Ye, M Deng… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In this paper, a physical human-robot interaction approach is presented for the developed robotic exoskeleton using admittance control to deal with a human subject's intention as well …
Reinforcement learning offers to robotics a framework and set of tools for the design of sophisticated and hard-to-engineer behaviors. Conversely, the challenges of robotic …
J Luo, E Solowjow, C Wen, JA Ojea… - … on Robotics and …, 2019 - ieeexplore.ieee.org
Precise robotic manipulation skills are desirable in many industrial settings, reinforcement learning (RL) methods hold the promise of acquiring these skills autonomously. In this …
Reinforcement Learning (RL) of contact-rich manipulation tasks has yielded impressive results in recent years. While many studies in RL focus on varying the observation space or …